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

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true. The description adds one genuinely useful non-obvious trait beyond the annotations: the answer is attributed to the AI, 'never as your person's.' It does not, however, explain what makes this operation destructive or what happens to the ask once answered, leaving the most consequential annotation unexplained.

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 short and front-loaded with the action, but the phrasing 'an AI, by name: another agent asking you' is grammatically tangled and forces a re-read. The middle sentence mixes payload instructions with field enumeration, weakening the structure.

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?

For a non-idempotent mutation tool with no output schema, the description covers the essential call inputs (id, decision, choice/text) plus the attribution behavior an agent would not otherwise know. It is nearly complete, missing only the post-answer effect and any reconciliation of the destructive hint.

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?

Schema description coverage is 100%, so the schema already documents all five parameters including the decision enum and the choice/text distinction. The description reinforces which fields pair with which decision ('with choice or text for a question') but adds no syntax or format detail beyond the schema, so the baseline of 3 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 verb+resource: answering an approval or question addressed to the agent by name, and lists the decision values. It implicitly separates itself from ask_approval/get_approval by framing the action as replying to an inbound ask, but never names a sibling, so it lands at 4 rather than 5.

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?

Usage is implied by the phrase 'addressed to you, an AI, by name,' which tells the agent this applies only to asks directed at it. However, there is no explicit when-not guidance and no mention of alternatives such as get_approval (to inspect) or list_approvals (to enumerate), so the routing is left to inference.

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