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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description's 'Changes nothing' is consistent with that. Beyond the annotations it adds the important behavioral detail that the tool returns the literal call to execute and that an edited review reply may be substituted as the comment — genuine value. It stops short of describing response shape or what happens if a proposal has expired, hence not 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.

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

It is densely front-loaded — the identity of the resource comes first, then the workflow. The middle clause about using the person's edited text is slightly parenthetical and interrupts the yes/no flow, which keeps it from a perfect score, but nothing is filler.

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

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

With no output schema, the description must explain the return value, and it does: the change, its rationale, and the exact call. It also covers the full lifecycle (approve → done, decline → autopilot_decline), which is everything an agent needs to act correctly on a one-parameter read tool.

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

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

There is a single parameter with 100% schema description coverage ('From autopilot_status'), so the schema already carries the semantics. The description only echoes the provenance of the id rather than adding format, range, or error behavior, so the baseline 3 for high-coverage schemas applies.

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

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

The description states a specific resource (a single Autopilot-proposed change) and what the response contains: what it is, why, and the exact tool call that executes it. It also implicitly distinguishes itself from autopilot_status by naming that tool as the source of the ids, so an agent can route correctly without opening sibling schemas.

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

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

It gives explicit branching instructions: on approval, make the returned call and then record with autopilot_proposal_done; on rejection, use autopilot_decline. Both alternatives are named along with the condition that selects each, leaving nothing to inference.

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