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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false. The description contributes beyond that by clarifying the call is quote-only and non-committal and by naming the three returned fields. It does not say whether repeated calls create duplicate cases, what auth/credits are needed, or whether accepting the quote is required downstream.

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 core sentence is front-loaded and efficient, but the entire content is duplicated verbatim in English and Chinese, roughly doubling length without adding information. Structurally sound, wasteful in volume.

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?

There is no output schema, so the description is the only source on return values, and it names compliance_case_id, quoted_cents and items_preview without saying how they are used or what items_preview contains. With five parameters at 0% schema coverage and a mutation-adjacent workflow, the description should also explain the relationship to accept_compliance_quote; it does neither.

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 schema gives only names and types; the description compensates by enumerating product, request_id and the optional category, materials and order_pack_id, including which are optional. However it adds no meaning — what order_pack_id binds to, what format materials take (text vs document_id), or whether request_id is a client idempotency key — so it falls well short of fully compensating for the coverage gap.

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 (request a compliance-check quote) and explicitly frames it as quote-only ('只报价'), which is a real distinction from a full check. It also lists the return fields, so an agent knows this is a pricing step rather than the check itself. It does not explicitly name the sibling it differs from (accept_compliance_quote / get_compliance_check), so it stops short of 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?

The phrase 'Request a quote' plus '只报价' implies this precedes accepting a quote, but the description never states when to call this instead of get_compliance_check or how it relates to accept_compliance_quote. Usage must be inferred from the sibling list rather than read from the text.

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