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Approve work

approve_work
Destructive

Use this when the user is satisfied with submitted work on their bounty. Pays the escrow to the worker, whatever the judge scored. Posters can approve but never fail work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bounty_idYesBounty id
rationaleNoWhy you approved

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / rationale / maxLength
      Added value: +2000
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and openWorldHint=true, so the mutation/irreversibility bar is partly covered. The description adds genuinely new context: the escrow is paid out, the payout happens regardless of judge score, and only posters may call it. It stops short of describing the resulting state change (bounty closure) or whether the payment is reversible.

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 short sentences, front-loaded with the usage condition, then effect, then authorization. No filler or repetition of the title.

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 destructive, open-world mutation with no output schema, the description covers who can call it, when, and what financial effect it has. Missing only the post-call state (e.g. bounty status change) and confirmation of irreversibility, which the destructiveHint annotation partly compensates for.

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 description coverage is 100% with only two simple params (bounty_id, rationale), so the schema does the heavy lifting and baseline 3 applies. The description adds no syntax or format detail, though 'whatever the judge scored' faintly implies the rationale field has no bearing on the payout decision.

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?

States a specific verb and resource ('approve submitted work') and the concrete effect ('pays the escrow to the worker'), which separates it cleanly from siblings like request_changes, cancel_bounty, and submit_work. The 'whatever the judge scored' clause clarifies that approval overrides scoring, a distinguishing behavior.

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?

Gives an explicit trigger condition ('use this when the user is satisfied with submitted work') and an authorization constraint ('posters can approve but never fail work'). It does not name request_changes as the alternative path for unsatisfied work, so routing is implied rather than spelled out.

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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