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

With no annotations, the description carries the full burden. It discloses that the output is a targeted action checklist plus generic advice, and it adds an important trust caveat that the checklist is industry-experience-based and must be self-validated, not a platform-hard standard. It does not discuss side effects, but as a read-only advisory tool that is a minor gap.

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 compact and well-structured: purpose line, parameter section, return section, and caveat. Every sentence carries distinct information with no filler, and the core behavior is front-loaded.

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 single-parameter, low-complexity tool, the description covers the operation, the allowed input, the return shape, and the reliability caveat. It is nearly complete, but it omits any guidance on how this tool relates to return_policy_playbook or calculate_return_cost, which would help an agent choose among the siblings.

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 must compensate; it does by listing all five return_reason values inline. It connects the values to the Chinese labels in the first line, which adds semantic meaning the bare schema lacks, though it does not define each enum value individually or restate the default.

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 names a specific action ('按退货主因给针对性降退货率清单' – produce a targeted return-reduction checklist by return reason) and enumerates the five reason categories, so an agent can tell what the tool does. It does not explicitly differentiate it from sibling tools calculate_return_cost or return_policy_playbook, 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?

The description implies the tool is for generating return-reduction action items for a given return_reason, and the return_reason options define the context. It gives no explicit 'use when / use instead' guidance or contrast with sibling tools, leaving some inference to the agent.

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