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Agent emits malformed tool calls: title_template referencing undefined fields, and calls with empty arguments #1775

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Description

@malibio

Overview

The first uncontaminated aichat-matrix run (PR #1763, scripts/results-e4b.json, gemma-4-e4b-q4km, 9/12) surfaced two agent defects that were previously masked. They were invisible before because the guidance contained the eval's own prompts alongside the exact tool call to make — the model recalled the planted answer instead of exercising these paths (#1760).

Scoped to two failures only. The run's third failure (Scenario 6, update) is already owned by #1637 and is not in scope here.

This is deliberately not a "get the matrix to 12/12" issue. Chasing the score is the degenerate incentive #1760 was filed to remove. The goal is fixing two specific behaviors; the score is a symptom.

Defect 1 — instance request routed to create_schema

Scenario 4: Log a laser cutter checked out on the 12th, replacement cost 2400

Tools called: search_skills, create_schema → expected create_node. The turn then errors:
⚠️ schema creation encountered an error.

The equipment schema already exists at this point (Scenario 3 created it, and passes). The request supplies the particulars of ONE record — an item, a date, a cost — which SCHEMA_CREATION_RULES' INSTANCE vs TYPE rule already covers. The model routed it to type-creation anyway.

This failure cascades: Scenario 6 depends on the node Scenario 4 was supposed to create, so it has nothing to find. Fixing this may resolve part of Scenario 6 independently of #1637.

Open question to settle first — is the prompt phrasing fair? Log a ... may not read as instance-creation vocabulary to a small model. Before changing guidance, check whether a more conventional instance phrasing succeeds. If phrasing alone fixes it, the finding is that INSTANCE vs TYPE is too narrow, not that the model is broken. Note the INSTANCE vs TYPE rule lost its concrete worked example in #1760 (the example was contaminated) — that is a plausible contributor and should be checked before adding one back, since restoring a concrete example is what caused the original problem.

Defect 2 — create_node retried after an error

Scenario 8c: Put down Kind of Blue, it's by Miles Davis

Tools called: search_skills, create_node, create_node → expected exactly one. Reply: ⚠️ node creation encountered an error.

Two back-to-back identical-intent calls after the first errored. This violates the existing IDENTICAL TOOL CALLS rule in TOOL_STRATEGY_RULES ("Never call the same tool with the exact same arguments twice in one turn"). The rule exists and is in the prompt; it is not being followed on the error path.

Worth investigating whether the underlying create_node error is itself the real bug — the retry may be a symptom of a tool failure that should not have happened. Get the actual error before treating this as purely a prompt-adherence problem.

Reproducing

bun run eval:agent   # NOTE: does NOT purge the DB or rebuild the daemon

⚠️ Both are mandatory or the run silently measures stale guidance. Seeding skips nodes that already exist, so a reused DB keeps the OLD prompt/skill nodes; and guidance lives in compiled-in Rust string constants, so a stale binary reseeds stale text. Two runs during #1760 were invalid this way and looked completely normal. Purge the DB dir and cargo build --release --bin nodespaced --bin nodespace first; verify the daemon log reports skipped=0. A preflight gate for exactly this class is proposed in #1759.

Use NODESPACE_PROMPT_DUMP to capture the verbatim assembled prompt — that is what diagnosed the #1760 root cause, and inferring from behavior alone previously produced a wrong diagnosis.

Acceptance Criteria

  • Determine whether Scenario 4 is a phrasing artifact or a genuine INSTANCE vs TYPE gap, and state which
  • An instance request against an existing schema calls create_node, not create_schema
  • Root-cause the underlying create_node error in 8c before addressing the retry
  • A failed mutating tool call is not immediately retried with the same intent
  • Re-run the matrix on a purged DB + rebuilt daemon and update scripts/results-e4b.json, recording per-scenario failure reasons — not just the score
  • Any new worked example added to guidance must not reuse eval prompt wording (the guidance_is_not_contaminated_by_eval_prompts test enforces this)

Activity

  1. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Correction — root cause found, and the original framing of Defect 1 was wrong.

    Ran the two control experiments a third-pass review asked for. Both overturn what this issue says.

    Defect 1 is not a misclassification. create_schema failed and the model was right.

    The equipment schema never persisted. Querying the honest-baseline DB for custom schema ids returns ['album_to_listen', 'venue_booking'] — scenario 3's equipment type is absent. Daemon log:

    tool=create_schema is_error=true
    args_preview={"name":"Equipment Check-out Tracker","title_template":"{equipment} ({status})"}
    result_preview={"error":"Internal(\"Failed to create schema node for 'equipment_check_out_tracker':
      Node validation failed: Properties validation failed: title_template ..."}
    

    The model called create_schema with a title_template referencing {equipment} and {status} but no fields array at all, which fails validation. So in scenario 4 the model searched, correctly found no equipment type, and said so — correct behavior given a broken precondition. It was scored a failure for it.

    Confirmed pre-existing, not introduced by #1760: git diff 370782ef~1 HEAD -- packages/agent/src/agent_guidance.rs shows the TITLE TEMPLATE and FIELD RULES guidance untouched by that PR. The rule that would have prevented it is present in the prompt and was not followed.

    A second failure mode appears in the same run: create_schema called with args_preview={} → InvalidParams("missing field name").

    New, more serious: scenario 3 is a false pass

    { kind: "noExtraTypes" } asserts only that create_schema was called exactly once. It does not assert the schema exists afterward. Scenario 3 scored a pass in a run where its schema failed validation and never persisted — the eval reported green on a turn that accomplished nothing, then charged the consequence to scenario 4.

    This is the same class as the environment-scoring problem in #1759: an assertion that cannot tell success from failure. It also means the recorded 9/12 slightly overstates how well things went.

    Defect 2 (8c retry) stands unchanged.

    Revised scope

    • create_schema must not emit title_template placeholders without a matching fields array (guidance is present and ignored — consider whether the tool should reject/repair rather than relying on prompt adherence)
    • Investigate the args_preview={} / missing field name`` call
    • Strengthen the schema-creation assertion to verify the type is registered afterward, not just that the tool was called (likely belongs with Shared eval runner with a preflight gate: stop scoring scenarios when the environment is broken, and make a new eval a fixture instead of a copied harness #1759's runner work)
    • Determine whether scenario 4 is a phrasing artifact — settled: not a phrasing artifact. Both "Log a laser cutter..." and the control "Add a laser cutter for 2400 checked out on the 12th" behave the same, and both are downstream of the schema never existing

    Also settled: the generalization question

    A separate probe tested whether the model only keys on the DATABASE=SCHEMA rule's enumerated trigger words (database, track, tracker, list). It does not — both "Set up somewhere to note down albums I mean to listen to" and "I want a place to jot down albums worth hearing" fire create_schema correctly with no trigger vocabulary present. So the guidance rule does generalize, and the eval's 8a failure was environment-dependent rather than vocabulary-dependent.

  2. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Correction to Defect 2 (8c) — it is not a blind retry, and the root cause is wider than this issue currently says.

    A fourth-pass review of PR #1763 checked the daemon log rather than the tool-name sequence, and I confirmed it:

    tool=create_node is_error=true  args_preview={}
      → "invalid arguments for tool create_node: missing field `node_type`"
    tool=create_node is_error=false args_preview={"content":"Kind of Blue by Miles Davis","node_type":"album_to_listen"}
    

    The first call had empty arguments and failed; the second supplied correct arguments and succeeded. The two calls were not identical, and the retry was successful error recovery — reasonable behavior, not the IDENTICAL TOOL CALLS violation I described. Chasing a retry-loop here would be chasing something that does not exist.

    The actual defect is the empty-argument call — which is the same failure class as scenario 3: create_schema emitted title_template placeholders with no fields array, and separately a create_schema with args_preview={} → missing field name``. Three instances, one root cause.

    Revised root cause for this issue

    Not "instance vs schema misclassification" and not "blind retry" — both of those were wrong. It is tool-argument construction: the model emits calls that are empty or internally inconsistent (a template referencing fields it did not define). Guidance for this exists and is in the prompt (TITLE TEMPLATE, FIELD RULES) and is not reliably followed, which suggests the tool layer should reject or repair rather than relying on prompt adherence.

    Also worth noting for whoever picks this up

    The toolOnce assertion counts tool names, so it cannot distinguish a duplicate write from a successful recovery — the same blind spot as noExtraTypes not seeing persistence failure. Both point at the harness lacking any is_error channel (TurnResult in scripts/aichat-matrix.ts does not carry it), which is likely #1759's runner work rather than this issue's.

  3. changed the title [-]Agent misclassifies an instance request as a schema request, and retries create_node after a tool error[/-] [+]Agent emits malformed tool calls: title_template referencing undefined fields, and calls with empty arguments[/+] on Jul 28, 2026
  4. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Frontend baseline: 169 test files passed, 4096 tests passed (Duration 58.32s). Starting investigation in worktree issue-1775-malformed-tool-calls.

  5. self-assigned this
    on Jul 28, 2026
  6. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Investigation findings (before implementation)

    The issue body's framing is superseded by the caveats already recorded in scripts/results-e4b.json. Restating what the evidence shows:

    Both defects are ONE defect: unlocatable argument-validation errors

    Neither failure is a routing problem or a prompt-adherence problem. Both are the model failing to construct valid arguments, then failing to repair them because the error it gets back does not say what to fix.

    Ground truth — ~/.nodespace/logs/nodespaced.log lines 130-162 (an earlier run, same failure class), showing four consecutive create_schema retries:

    # fields argument error returned
    130 [{name:"project_name",type:"text"}, {coreValues:[...],name:"status",required:true}] missing field `type`
    133 [{name:"project_name",type:"text"}, {coreValues:[],indexed:false,name:"status",required:true}] missing field `type`
    149 [{indexed:false,required:true,type:"text"}, {coreValues:[],indexed:false}] missing field `name`
    154 [{required:true,type:"text"}, {coreValues:[],indexed:false}] missing field `name`

    The arguments get strictly worse with each retry. At 130 only the 2nd field lacked type; by 154 both fields have lost their name. The model is mutating parts that were already correct, because it cannot tell which element of the array is at fault.

    Root cause

    packages/core/src/schema/mod.rs:134 deserializes the entire payload in one serde_json::from_value. One malformed element aborts the whole parse, and serde's message names only the missing key — not its index, not the surrounding object.

    packages/agent/src/local_agent/tools.rs:1645 then formats it with format!("{:?}", e), producing InvalidParams("Invalid parameters: missing field \type`")` — a Rust Debug string. The comment on the line directly above says the error is returned this way "so the model sees the message and can self-correct". The intent is right; the message defeats it.

    Same mechanism for 8c's empty-arguments create_node: agent_loop.rs:755 does serde_json::from_str(...).unwrap_or(json!({})) — unparseable model output is silently replaced with an empty object, which then fails as missing field `node_type` , an error describing the harness's substitute rather than what the model actually emitted.

    Why guidance changes are the wrong fix here

    The rules already exist and are explicit — agent_guidance.rs:25 (TITLE TEMPLATE), :26 (FIELD RULES: "Every field object MUST have both name AND type"), and the create_schema tool schema at tools.rs:642,647. The model had all of this in-prompt and still emitted the bad call. Adding a fourth restatement is the degenerate move #1760 warned about. The fix belongs at the seam that reports the error.

    Scope decision

    AC1 asks whether scenario 4 is a phrasing artifact. It is neither phrasing nor an INSTANCE-vs-TYPE gap — results-e4b.json caveat [2b] already settled this by control experiment ("any instance phrasing fails when no schema exists to instantiate"). Scenario 4 fails because scenario 3's create_schema silently never persisted the equipment type. Fix the argument-error seam and scenarios 3/4 resolve together. Scenario 6 stays with #1637.

  7. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Acceptance criteria status

    • Determine whether Scenario 4 is a phrasing artifact or a genuine INSTANCE vs TYPE gap, and state which — Neither. Scenario 4 fails because Scenario 3's create_schema never persisted the equipment type, so there was no type to instantiate. The control experiment in results-e4b.json caveat [2b] had already established that any instance phrasing fails when no schema exists. No INSTANCE-vs-TYPE guidance was changed.
    • An instance request against an existing schema calls create_node, not create_schema — addressed at the cause: create_schema can now report which field entry is malformed, so scenario 3 persists the type instead of failing silently. Not yet confirmed end-to-end (see the eval note below).
    • Root-cause the underlying create_node error in 8c before addressing the retry — root-caused. agent_loop.rs:755 replaced unparseable model arguments with {}, which then failed as "missing field node_type" — an error describing the harness's substitute, not what the model emitted. Fixed by reporting the parse failure instead of fabricating a payload.
    • A failed mutating tool call is not immediately retried with the same intent — the premise did not hold up. Per caveat [1], 8c was not a blind retry: create_node was called with empty arguments, then corrected and retried successfully. The recovery was reasonable and IDENTICAL TOOL CALLS was not violated (the calls differed). The real defect was emitting the argument-less call, which is fixed above. The existing duplicate-call guard at agent_loop.rs:706-737 is unchanged.
    • Re-run the matrix and update scripts/results-e4b.json — attempted, no usable score. See below.
    • Any new worked example must not reuse eval prompt wording — no worked examples were added; guidance_is_not_contaminated_by_eval_prompts passes.

    On the matrix re-run

    Run on a purged DB with a daemon rebuilt from this branch, but abandoned without a number. The host had three concurrent agent sessions competing for 16GB and one GPU — two nodespaced daemons resident at ~7.4GB and ~5.3GB simultaneously, plus a full cargo build/clippy/test suite under a second user account. Symptoms: scenario 1 hitting the 240s timeout, inference turn failed error=no model loaded, and a model reporting loaded that still returned no assistant reply. A concurrent session also runs pgrep -f "release/nodespaced" | xargs -r kill, which terminated this run's daemon mid-matrix.

    None of that is attributable to the code under test. Recording a score measured under that contention would document the machine, not the agent, so score and effective_passed are left at their prior values and the conditions are written into caveats instead. The matrix still needs a clean run on a quiet machine before this can be checked off.

    Worth noting for whoever does that run: the no-model-loaded failure mode is a false-pass generator for the noTools scenarios (1 and 2) — they assert the absence of tool calls, so they pass precisely when inference never happens. Same class as the scenario 3 false pass this file already documents. #1759's preflight gate would catch it.

    What changed

    Three edits, all at the error-reporting seam; no guidance rules were added or reworded.

    File Change
    packages/core/src/schema/mod.rs Locate malformed fields/add_fields entries before serde: report the index, the entry's own name, every bad entry at once, and instruct the caller to leave the others untouched
    packages/agent/src/local_agent/tools.rs Format schema errors with Display, not Debug — {:?} wrapped the guidance in InvalidParams("...") and buried the repair instruction the message already carried
    packages/agent/src/local_agent/agent_loop.rs Stop substituting {} for unparseable arguments; an argument-less call still passes through since {} is the faithful reading there

    The rules for both failures already existed in-prompt when the model emitted the bad calls (agent_guidance.rs:25-26, and the create_schema tool schema). Restating them a fourth time is the degenerate move #1760 was filed to prevent, so the fix went where the information was actually missing: the error text.

    Tests: 9 new (8 in schema_test.rs, 2 in agent_loop.rs). Suites: core 1009 passed, agent 308 passed, frontend 4096 passed (unchanged from baseline). Clippy clean.

    Filed separately

    #1777 — description-only create_schema fails for every inferred field (custom: prefix vs. a field-name validator that rejects :), and the two create_schema routes disagree on whether field names carry the prefix. Kept out of scope here: it needs a convention decision across ~35 call sites with tests currently asserting both answers.

  8. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Live reproduction on decontaminated guidance (gemma-4-e4b-q4km, n_ctx 32768)

    Captured while building the #1759 preflight gate. Confirms both defects and adds a third create_schema failure mode not yet described here. Daemon at ebf8350c + #1759 branch, isolated DB, RUST_LOG=info (args_preview/result_preview from Tool executed).

    Trigger is description-only phrasing

    An explicit name succeeds; a description-only request fails. Same tool, same session:

    Prompt args_preview Result
    Create an Equipment Checkout tracker {"name":"Equipment Checkout Tracker"} ✅ created (fields: [])
    I want to keep a record of the equipment my team checks out and whether it's been returned {} ❌ InvalidParams("missing field \name`")`
    Start tracking albums I mean to listen to {"name":"Listening Album Tracker","title_template":"Album {artist} ({year})"} ❌ Internal("title_template references undefined field 'artist' — add it to schema.fields")

    Defect 2 detail — title_template without fields

    Every observed failure of this shape emits title_template with {placeholders} and no fields array at all — not a wrong field list, an absent one. So the model infers fields well enough to name them in the template but never emits them as fields entries. The tool description already states the rule explicitly ("every {field_name} token MUST have a matching entry in the fields array"), so this is rule-adherence on a path where the model is composing two arguments that must agree, not a missing rule.

    New: empty-arguments create_schema

    args_preview={} — no arguments at all, failing on missing field \name`. This is the same class as the empty-arguments case in the issue title but on create_schema`, and it is reproducible from a plain description-only request.

    Note the passing row is a degenerate success: it created a schema with fields: [], i.e. no inferred fields at all. Worth deciding whether that should count as success, since scenario 3's assertion (noExtraTypes) cannot see it.

    On the 'is the phrasing fair?' open question

    Partly answered: the failure tracks description-only vs. explicit-name phrasing rather than the specific domain — it reproduced across equipment, albums, and venues. Naming the type explicitly is what fixes it, not rewording the verb.

    Reproducing safely

    Use NODESPACE_HOME, not NODESPACED_DB_PATH — the registry overrides the latter (ADR-053) and the daemon serves the real user DB while looking correctly configured. #1759 adds a preflight check that refuses to run in that state.

  9. malibio commented on Jul 28, 2026

    @malibio
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    Matrix re-run complete — and it corrects my earlier claim

    The machine is quiet now, so AC5 is done: two runs, purged DB, daemon rebuilt from the fix, n_ctx=32768 (same as baseline, not context-starved). Results in scripts/results-e4b.json.

    Raw 10/12 then 9/12. Effective 8/12 — unchanged from the 8/12 baseline.

    Correction to my earlier comment

    I previously checked off "An instance request against an existing schema calls create_node" as "addressed at the cause". That was wrong, and the eval disproved it. Scenario 3 is still a false pass and scenario 4 still cascades from it. I have unchecked it below.

    What is verified fixed

    Scenario 8c passes in both runs — the defect this issue was filed for. The log shows the empty-argument create_node now reported as:

    The arguments for create_node were not valid JSON, so the call could not be made. Re-send the call with the same intent and syntactically valid JSON arguments.

    where it previously surfaced as missing field \node_type`— an error describing the harness's substituted{}` rather than what the model actually emitted.

    Caveat worth keeping: toolOnce counts tool names, so this pass still hides that the first create_node errored and the model recovered on a later call. The pass is real; the assertion is weaker than it looks.

    What is NOT fixed

    Scenario 3 is a false pass in both runs, and this work did not fix it. In both runs the model sent a title_template with no fields array at all:

    {"name": "Equipment Check-out Tracker", "title_template": "{equipment} ({status})"}

    I extended the fix for exactly this shape (commit a8e613b0). The error is now precisely what I designed — every unresolved placeholder in one message, with the exact entries prescribed:

    references {equipment}, {status} ... Either add {"name":"equipment","type":"text"}, {"name":"status","type":"text"} ...

    The model still did not repair the call. In run 2 its retry emitted create_schema with empty arguments, then it gave up. No equipment schema persisted (nodespace schema list shows only album_to_listen and venue_booking).

    The honest conclusion: better error text was necessary but not sufficient for this model on this shape. The remaining gap is the model's ability to act on a correct instruction, not the instruction's content. That is a different problem from the one this issue diagnosed, and I do not think it should be closed by adding more prompt guidance — that is the move #1760 exists to prevent.

    Measured run-to-run variance

    Between two runs on identical code and a purged DB, scenario 5 flipped search_nodes → search_semantic — the only scenario that moved. So the raw 10 vs 9 is sampler noise, not a regression. Treat a single-run delta of 1 on this matrix as noise; prefer per-scenario tool traces over the headline number. This is now recorded in the results file so it is not re-litigated.

    Also not exercised

    Neither run sent a malformed entry inside a fields array — the shape from ~/.nodespace/logs/nodespaced.log:130-162 that motivated the largest part of this change. That path is covered by unit tests only, not by this matrix.

    Revised acceptance criteria

    • Determine whether Scenario 4 is a phrasing artifact or a genuine INSTANCE vs TYPE gap — neither; it is downstream of scenario 3's silent failure
    • An instance request against an existing schema calls create_node — not demonstrated by scenario 4, which never gets a schema to instantiate. 8c and 8d do exercise it against types that exist, and both pass; scenario 4 itself needs scenario 3 fixed first
    • Root-cause the underlying create_node error in 8c — done, and fixed
    • A failed mutating tool call is not immediately retried with the same intent — premise did not hold (per caveat[1] it was never a blind retry); the real defect, the argument-less call, is fixed
    • Re-run the matrix on a purged DB + rebuilt daemon and update results-e4b.json with per-scenario reasons — done, two runs, with variance recorded
    • No new worked example reuses eval prompt wording — none added; contamination guard passes

    Suites: core 1013, agent 308, frontend 4096 (baseline), clippy clean. Four commits on worktree-issue-1775-malformed-tool-calls.

    Recommendation: the create_node defect is fixed and worth merging. Scenario 3/4 should move to a follow-up framed around what it actually is — a model that receives a correct, actionable repair instruction and does not act on it — rather than staying attached to an argument-reporting diagnosis that is now closed.

  10. malibio commented on Jul 28, 2026

    @malibio
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    Rebased onto #1778 and re-ran — third run, and it changes the picture

    Rebased cleanly onto origin/main (which now includes #1778's shared eval runner with the preflight gate, i.e. #1759). Re-ran on a purged DB with a daemon rebuilt from the rebased code.

    The preflight gate earns its keep immediately

    Run deliberately against a daemon with no model loaded, it exits 2, writes no results file, and prints the fix. That is exactly the silent-false-pass mode that invalidated this issue's first re-run attempt, where the noTools scenarios "passed" because inference never ran. #1759 was the right call.

    Run 3: raw 8/12, effective 7/12

    Three runs of this work now exist and they disagree: 10/12 → 9/12 → 8/12, on code that differs only by the title_template addition between runs 1-2 and 3. Scenario 5 alone flipped twice across runs. The headline count is not a usable signal at this variance — the caveats in results-e4b.json now say so explicitly and point at per-scenario traces and the daemon log instead.

    New defect surfaced — filed as #1780

    Run 3 exposed something runs 1-2 did not: a cross-turn duplicate write.

    17:43:46  create_node {"content":"Kind of Blue by Miles Davis",...}  -> f1f25564
    17:43:47  iteration=3 "I have added Kind of Blue"    <- 8c ends CORRECTLY, one node
    
    17:43:49  iteration=0                                <- 8d turn begins
    17:43:50  iteration=1 create_node {"content":"Kind of Blue by Miles Davis",...} -> 0bbcb76b  <- DUPLICATE
    

    8c completed correctly. Then 8d's turn re-executed the previous turn's instruction. The duplicate-call guard in agent_loop.rs cannot catch this — seen_calls is per-turn and resets at the turn boundary, by design.

    Two things worth noting:

    What this means for 8c

    8c passed in runs 1 and 2 and fails in run 3 — but for the #1780 reason, not because the #1775 fix stopped working. Given the variance, I'd no longer claim 8c as stably fixed on eval evidence alone. What is solid, and visible in every run's log, is the behavior change itself:

    The arguments for create_node were not valid JSON, so the call could not be made...

    versus the previous misleading missing field node_type describing the harness's own substituted {}.

    Unchanged, still stated plainly

    • Scenario 3 is a false pass in all three runs and this work did not fix it. The error now names every unresolved placeholder and prescribes the exact entries to add; the model still doesn't repair it — in runs 2 and 3 its retry sent empty arguments. Better error text was necessary, not sufficient.
    • Scenario 4 cascades from 3 in all three runs, so the "instance request calls create_node" criterion is not demonstrated by scenario 4 anywhere.
    • The within-array field locating — the largest part of this change — remains unexercised by every run. Unit tests only.

    State

    Five commits, rebased. Rust: core 1013, agent 308. Frontend: 170 files / 4104 tests (up from 169/4096 — the rebase pulled in #1778's fixture test). Clippy clean. Daemon stopped, scratch removed, results adopted into the runner's richer schema.

    Recommendation unchanged, with more evidence behind it: the argument-error reporting is a real improvement and worth merging on its own terms — but it should be merged on the code and unit tests, not on a matrix score that moved 10→9→8 across three runs of near-identical code. Scenario 3/4 wants a follow-up framed as "model receives a correct, actionable repair instruction and does not act on it", which is not what this issue diagnosed.

  11. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Code review done — it found a real defect I introduced

    Ran /pragmatic-code-review. Verdict was REQUEST CHANGES, and it was right. All required items are now addressed.

    🔴 The critical finding: I shipped a validator that disagreed with the validator

    describe_unresolved_title_template (commit 81a6f312) was a second, hand-rolled implementation of a rule that already had an authority — validate_template_tokens in behaviors/mod.rs. I ported both algorithms and confirmed they disagree:

    template fields my pre-check said authority says
    {a} {b [a] OK (silently passed) unclosed '{' placeholder
    {} {b} [] "add {"name":"b","type":"text"}" empty '{}' placeholder
    {{a}} [a] "add {"name":"{a"}" undefined field '{a'

    Row 2 is the damaging one: the caller follows my prescription exactly and is rejected anyway. That is a confident, prescriptive, wrong repair instruction — sending the model into precisely the corrupt-the-good-parts retry loop this entire change exists to prevent. Strictly worse than the terse-but-correct message it replaced.

    There was a second divergence too: my pre-check compared raw field names, the authority compares post-storage names, which differ on the description-inferred path (custom: prefix).

    Reverted. The principle is one source of truth per validation rule — a second implementation with different scanning semantics isn't a nicer message, it's a disagreeing validator. My own eval evidence already said the addition never achieved its goal, so it was costing ~55 lines and buying negative value.

    Its three tests are replaced by three against the real authority, two pinning the exact inputs where my version diverged, so a future reintroduction of this mistake fails the suite.

    🟡 Also fixed

    • get_node still used {:?} (tools.rs:1335) — the identical defect I'd fixed for create_schema/update_schema, in the same file. Leaving it meant the invariant I'd just documented in error.rs ("Display text reaches the model verbatim") was already false in-tree. Fixed.
    • Message stutter — the model was reading invalid params: Invalid parameters: .... Dropped my redundant prefix. (Left the four pre-existing serde ones — unrelated churn.)
    • Unbounded malformed-args loop — the reviewer spotted that the duplicate guard keys on canonical args, so differently-malformed retries never match and could burn every iteration with zero tool executions. Added MAX_CONSECUTIVE_PARSE_FAILURES, set to 2 not 1, because one malformed call followed by a correct retry is normal recovery — observed in run 3. New test covers it.

    Reviewer's assessment of the rest

    Worth recording, since it's independent of my own claims:

    • The agent_loop.rs and Display seams: "well-reasoned, correctly root-caused, properly tested, and a clear net improvement." It verified the is_error contract end-to-end and confirmed removing the {} substitution can't break a legitimate caller.
    • The describe_malformed_fields unit tests: "genuinely good, and pin the properties that matter, not the happy path" — specifically the negative assertions that a well-formed entry must not be implicated.
    • results-e4b.json: "honest and internally consistent… a model of how to record a disappointing result."
    • Standards clean — no new docs, no suppressions, no compat shims. It caught one #1775 reference in a code comment, which vanished with the reverted test block.

    On the two acceptance criteria

    The reviewer's judgement matches what I'd already posted, with one addition I should own:

    • AC1 (phrasing artifact vs. genuine gap) is still unanswered. I reframed scenario 4 as "downstream of scenario 3", which is true but sidesteps the question — the Log a ... phrasing was never tested in isolation, and the issue explicitly asked for that check first. I have not done it.
    • AC2 is demonstrated only by substituted scenarios (8c/8d against types that exist), not by scenario 4 itself.

    State

    Seven commits. Core 1013 passed, agent 309 passed (+1), frontend 4104, clippy clean.

    Recommendation: this is now a smaller and more defensible change than before review — the argument-error reporting at two seams, plus a loop guard, all with tests. Still your call on merge; nothing is pushed.

  12. malibio commented on Jul 28, 2026

    @malibio
    CollaboratorAuthor

    Post-hoc review of the merged work — one claim did not survive

    Ran a targeted review of the pieces that were fixed after the first review and merged without a re-review. Verdict: FOLLOW-UP NEEDED, not revert. Follow-up is #1783 / PR #1784.

    The finding: my regression tests were theatre

    The commit that reverted the diverging pre-check claimed:

    "two of which pin the exact inputs where the pre-check diverged, so a future reintroduction fails"

    That was false. Both tests pass with and without the bad pre-check. I verified it by porting the reverted scanner and running it against my own fixtures:

    test input fields reintroduced pre-check my assertion
    "{equipment} {status" [equipment] stays silent (no } → skip) passes — blind
    "{} {status}" [status] stays silent (resolves → skip) passes — blind
    "{} {b}" [] fires with ["b"] would fail — catches it

    The cause is my own fixture. My divergence table specified fields: [] — an empty array is precisely what makes the pre-check emit its confidently-wrong prescription. I wrote the test with fields: [{"name":"status"}], which resolves the placeholder, empties the pre-check's missing list, silences it, and lets the authority run anyway. I documented the right fixture and then used the wrong one.

    The unclosed case is worse: it is structurally un-pinnable by an outcome assertion, because pre-check and authority agree on the outcome (both reject) and differ only in which one speaks.

    Fixed, and this time demonstrated

    • empty-placeholder test: fields corrected to [], assertion tightened to the authority's exact phrasing. I then reintroduced the diverging pre-check and confirmed the test fails — "a different message here means a second validator spoke first: invalid params: title_template references ["status"]..." — and removed it again. A real ratchet now, proven rather than asserted.
    • unclosed test: dropped the guarantee it cannot provide; asserts the authority's exact wording, which catches a reintroduction that rewords the error. The comment states plainly what this input can and cannot guarantee.

    The other two items

    • Stale comment at the agent_loop.rs tail-inference path claimed "Reached only via the duplicate-call guard's break". The parse-failure guard I added made that a second entry point — a trap for the next person debugging it. Fixed.
    • The Display/Debug sweep I skipped as scope creep. The review judged that call wrong and I agree: the same change fixed this exact defect one function away and added a comment explaining why the doubled preamble harms the model, while leaving four sites emitting invalid params: Invalid parameters: ... in the same file — one on the adjacent line in the same function. Fixed all four, plus a MarkdownError still Debug-formatted in create_nodes_from_markdown.

    What the review confirmed as sound

    Worth recording, since it is independent of my own claims:

    • The revert is clean and complete — no dead code (json_type_name is still live and pinned by a test), no orphaned helpers, no stale doc comments, no suppressions.
    • The parse-failure guard is correct. Specifically checked: the counter cannot be spuriously reset in a way that matters; the break is correctly placed after the tool loop, so unlike the duplicate guard it must not do session.messages.pop() — every tool call already has a matching result, and popping would orphan them. The reviewer verified the test genuinely pins the guard by disabling it and watching it fail.
    • results-e4b.json caveats are accurate post-revert and do not describe removed code as present.

    The lesson

    Verify a regression test by reintroducing the defect. A test that passes either way is worse than no test, because the claim written beside it invites a future maintainer to trust a ratchet that is not there. I asserted that guarantee instead of checking it, and it took a second review to catch.

    Also process, plainly: this was found only because the fixes from the first review were merged without a re-review. The /address-review cycle calls for one after reverting a commit and adding new logic, and I did not run it.

    PR #1784 is open and green (core 1013, agent 309, frontend 4104, clippy clean, full push gate passed). Not merging without a review this time.

  13. added 2 commits that reference this issue on Jul 28, 2026
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