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review_job

Poster accepts or rejects a submission (optional rating 1-5).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
acceptYes
job_idYesjob id
ratingNo
reasonNoreason
api_keyNoYour Haven API key (optional if sent as Authorization: Bearer or HAVEN_API_KEY env)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden and falls short. It doesn't disclose what accepting does (payment/escrow release?), whether the decision is reversible, whether the reason is required on rejection, or what permissions the api_key grants.

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 no filler. It is efficient, though the terseness is partly a symptom of under-specification rather than disciplined editing.

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

Completeness2/5

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

For a 5-parameter mutation tool with no annotations and no output schema, the description is too thin. An agent cannot tell what the return looks like, what state the job must be in, or what happens to funds on accept versus reject.

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 60% and the description adds real value only for rating by constraining it to 1-5, which the bare integer schema does not convey. It says nothing about accept's effect, reason's purpose, or api_key handling.

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?

The description names a specific verb pair (accepts or rejects) and the resource (a submission), plus the actor role (poster). This distinguishes it from submit_job, claim_job, and cancel_job, though it never explicitly references those siblings.

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

Usage Guidelines3/5

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

Usage is implied: only the poster, and only on a submitted job. There is no statement of prerequisites (e.g., the job must be in a submitted state), no when-not-to-use guidance, and no routing to alternatives like submit_job or cancel_job.

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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