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Produce the work record

work_record
Read-onlyIdempotent

Returns the work record as markdown (steps 4 and 5): the task, the evidence, the decision, the plan, what the AI did, and the checks, approval and release left for the lawyer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
outputYes
recordYesThe `record` string the previous workflow tool returned, passed back unchanged.
agent_didNoWhat the AI did, one line per stage worked on.
check_pointsNoEach high-risk point to check against its document: dates, figures, key advice.
lawyer_checkpointsNoThe task’s review points from get_task_guidance.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotent/non-destructive, and the description does not contradict that ('Returns' matches a read-style operation). It goes beyond the annotations by disclosing the emission format (markdown) and the exact content sections, plus that checks/approval/release are deliberately left to the lawyer rather than resolved by the tool — useful context the annotations cannot carry.

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

Conciseness4/5

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

A single front-loaded sentence with the verb first and the section list used purposefully rather than as filler. The trailing list item ('the checks, approval and release left for the lawyer') is slightly compressed but still readable.

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

Completeness3/5

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

With no output schema the description does carry the return-value burden and does so at a summary level, but for a tool with six parameters including nested objects it leaves gaps: the opaque reference to 'steps 4 and 5', no indication of where the markdown goes or how large records are handled, and no coverage of several parameters.

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 67%, so a mid-tier baseline applies. The description maps some content to parameters ('what the AI did' matches agent_did, 'the checks' matches check_points/lawyer_checkpoints) and implies record carries task/evidence/decision/plan, but it says nothing about notes, output.title, or output.version, so it only partially compensates.

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

Purpose4/5

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

States a specific verb and resource ('Returns the work record as markdown') and enumerates the exact sections it emits (task, evidence, decision, plan, agent actions, remaining checks/approval/release). That is far more concrete than siblings like record_answers or record_research, though it never explicitly names a sibling or contrasts its role with them.

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

Usage Guidelines2/5

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

The only positional cue is the parenthetical '(steps 4 and 5)', which hints at a workflow sequence but is meaningless without the surrounding pipeline. There is no statement of when to call this versus record_answers/record_research/plan_human_work, no prerequisites, and no exclusions.

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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