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

Annotations supply only destructiveHint=false, so the description carries the burden, and it does: it discloses that MEET creates a real conversation and sends a message under the user's identity, that the default opener is previewed and requires authorization, that signup success is never proven (always signupVerificationRequired=true), and that no server-side request dedupe key exists, with short-circuiting only for already-completed acceptances. These are exactly the side-effect and idempotency facts an agent cannot infer from structured data.

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 front-loaded with the core action before the mode-specific behaviour and caveats, and nearly every sentence adds non-redundant operational fact. It is, however, a dense unbroken block with several warning clauses packed together, which costs some scannability.

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 two-parameter mutation with no output schema and only a destructiveHint annotation, the description covers prerequisites (login), per-mode side effects, return-signal semantics (signupVerificationRequired, hasSignupRecordHint, openSignupSlug), the verification path, and the retry/idempotency policy. Nothing material needed to call it safely is missing.

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 coverage is 0%, so the description must compensate; it does so fully for 'opener' (omitting it triggers the platform's pre-written opener, shown to the user first for authorization; 400-char cap left to the schema). 'arrangementId' gets only indirect meaning, implying it comes from get_my_dispatch suggestions with no format or failure behaviour for an invalid ID.

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 and resource ('接受 get_my_dispatch 的建议') and then splits the behaviour into two named modes, MEET (builds a real conversation and sends an opener as the user) and ATTEND (attempts signup). This makes it clearly distinct from the sibling decline_dispatch_arrangement and from get_my_dispatch itself, which is named as the prerequisite.

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 explicitly names the upstream tool (get_my_dispatch), the follow-up verification tools (get_signup_activity along with the next hint, list_my_signups), and the fallback when an external form is involved (submit_signup). It also gives an explicit when-not-to-act rule: after an unclear result or timeout, query the current value instead of re-sending.

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