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

Goes well beyond the annotations: it declares the required scope (`bookings:write`), discloses that the first call is a non-mutating dry run, and explains that arguments are validated as the real change would be, with unknown fields refused by name. It also describes the shape of the first response (summary and confirm_token) and the human-in-the-loop requirement. Annotations only say it is non-destructive, non-idempotent and open-world; this adds the whole workflow contract.

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?

Front-loads the action, then the permission, then the two-call contract in three compact sentences with no filler. Phrasing is slightly telegraphic ('answers a summary and a confirm_token') but still readable.

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 usefully covers the first call's return values, but says nothing about what the second (committing) call returns or about the untyped rate_amount. For a multi-step mutation tool with sparse schema documentation, an agent still has open questions about argument meaning.

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 only 25%, and only confirm_token is documented in the schema. The description re-explains confirm_token (which the schema already covers) but says nothing about rate_amount, which has no type or description at all, nor about proposal_id or extension_id. It fails to compensate for the coverage gap on the most ambiguous parameter.

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?

States a specific verb and resource ('Accept an extension'), which is clearly distinguishable from the sibling verbs decline_extension, cancel_extension and request_extension by the plain meaning of 'accept'. It does not explicitly name or contrast those siblings, so it stops short of a 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?

Gives a concrete operational procedure: call once to validate and get a summary plus confirm_token, show the summary to the person, and only then call again with the same arguments plus the token. What it lacks is guidance on when to accept versus decline or cancel an extension, or any preconditions on proposal state.

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