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goal-record-iteration-certificate

Record one completed LeanSolver iteration against the current tracked contract. Result artifact refs must resolve to existing evidence or goal_attachment rows owned by this goal. Rework iterations accept only registered finding IDs and require a separate judged evidence row as repeatCheckEvidenceId; Planner derives the repeat verdict server-side. Only certificates admitted here may affect the numeric implementation rework rate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction that changed the result
goalIdYesGoal UUID
outcomeYesObservable completed result
acVerdictYesmatches, weak, mismatch, or errored
reworkClassYesimplementation, contract, proof_only, or unknown
artifactRefsYesExisting goal-owned evidence/goal_attachment refs
preconditionYesObservable state before the iteration
coverageDeltaNoStructured coverage change
afterFingerprintYesLowercase SHA-256 of the completed result
beforeFingerprintNoOptional lowercase SHA-256 of the prior result
addressesFindingIdsNoRegistered finding UUIDs addressed by this iteration
repeatCheckEvidenceIdNoSeparate judged evidence UUID; mandatory when findings are addressed

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the sparse readOnlyHint/idempotentHint annotations, the description reveals important behavior: refs are validated against existing goal-owned rows, the Planner computes the repeat verdict server-side, and only admitted certificates influence the numeric rework rate. It stops short of covering prerequisites, auth, or failure/return behavior, which keeps it below a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three dense sentences with the core verb and object up front; the rest packs validation requirements, a conditional rework rule, and a business-consequence statement with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter tool with no output schema, the description covers the high-risk acceptance rules and the business impact, while the schema covers field-level semantics. It does not explain how a 'current tracked contract' is established or what the call returns, which are minor gaps given the sibling context and the record action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the parameters are already documented; per the baseline this is a 3 unless the description adds substantial new meaning. It reinforces and links artifactRefs, addressesFindingIds, and repeatCheckEvidenceId, but most of that relationship is already present in the schema descriptions rather than being newly disclosed here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the exact action ('Record'), object ('one completed LeanSolver iteration'), and context ('current tracked contract'), so an agent can distinguish it from generic goal-update or finding-registration siblings. The final sentence also states its exclusive effect on the rework rate, further sharpening purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It clearly says the tool applies to completed iterations and gives concrete invocation conditions: artifact refs must be owned evidence and rework iterations require registered finding IDs plus repeatCheckEvidenceId. It does not explicitly name sibling tools or give a when-not-to-use alternative, so it falls just short of full routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clear distinct purposes (goal-create vs goal-update vs goal-delete), but the evidence-related tools (goal-add-evidence-text, goal-attach-evidence, goal-request-upload) and note tools (goal-add-note) have overlapping concepts that require careful reading of descriptions to differentiate. Overall, the detailed descriptions help resolve ambiguity, but a few tools could be easily confused.

Naming Consistency4/5

The majority follow a consistent verb_noun pattern with a resource prefix (goal-create, goal-get, project-list, project-update). However, there are deviations like account-delete (noun-verb reversed), goal-todo, goal-summary, goal-tree, and goal-recent-unresolved that break the pattern. The inconsistency is minor but noticeable.

Tool Count2/5

With 38 tools, this server has a very large surface area. Even for a complex planner with evidence management, the number exceeds the 25-tool threshold for 'too many'. Many tools could potentially be consolidated (e.g., goal-add-note and goal-add-evidence-text), and the size may overwhelm agents during tool selection.

Completeness5/5

The tool set provides complete coverage of the domain: full goal lifecycle (create, get, update, delete, list, tree, move, reorder, block), evidence management (attach, request upload, text evidence, remove), acceptance criteria (add, update, remove, request change, resolve escalation), assumptions (add, update, remove, suggest, attach evidence), blockers, notes, project management (CRUD, dependencies), and configuration settings. No critical gaps are apparent.

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