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

The annotations already mark the operation as destructive, non-idempotent, and open-world, and the description adds substantial context beyond that: login is required, the tool may call platform LLM/backend scheduling/notifications, there is no persistent deduplication key, and uncertain or timed-out results should be checked before reattempting. This is rich, non-redundant behavioral disclosure and does not contradict the annotations.

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?

The description is dense but every sentence earns its place: auth requirement, core action, reason semantics, side effects, retry policy, and verification path. It is front-loaded with the primary purpose and then logically layered with caveats. No filler or redundant restatement of the tool name.

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?

Given the tool's side-effect complexity, no output schema, and open-world/idempotent-false annotations, the description is remarkably complete. It tells the agent what the tool does, what each reason means, what side effects may occur, how to handle uncertainty or timeout, and how to verify the resulting state. The agent has enough information to invoke the tool correctly and recover from ambiguous outcomes.

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 0%, so the description carries the burden of explaining parameters. It does valuable work by defining the nuanced reason enum (SWAP, WRONG_DIRECTION/OTHER, HAVE_ALREADY/NOT_NOW) with concrete effects. arrangementId and note are left to their self-explanatory names and schema constraints, which is a minor gap but not a serious one.

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 action ('拒绝' reject) applied to a clear resource ('尚未接受的建议' not-yet-accepted suggestions), and it distinguishes this tool from acceptance or dispatch-related siblings by explaining the reason-code outcomes. It is not a tautology and gives the agent enough to know what operation is performed.

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?

The description explicitly maps each reason code to a behavioral outcome: SWAP means change to another, WRONG_DIRECTION/OTHER may reschedule, HAVE_ALREADY/NOT_NOW skip the step. It also tells the agent to verify with get_my_dispatch and not auto-retry. It does not explicitly name accept_dispatch_arrangement as the alternative, but the contextual routing is otherwise clear.

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