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

No annotations are provided, so the description carries the full behavioral burden. It does disclose that only titles are returned (not full question/answer content), which is useful, but says nothing about permissions, result limits, or ordering for what could be a large list.

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 short and front-loads the core purpose before the argument details. Every sentence carries information, though the Args block is formatted in a way that reads more like schema documentation than agent-facing prose.

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?

An output schema exists, so return-value details are not required, and the one parameter is well explained. What remains missing is guidance on when to choose this tool over search_answers/get_answer, which matters given four plausible 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%, but the description compensates well for the single parameter by naming the allowed values and explaining them: ai-service-standard (AI客服国标) and enterprise-knowledge-base (企业知识库). This enum information is absent from the schema, so the description adds real meaning.

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 ('列出全部合规问答的标题清单') and scopes it to the full set rather than a filtered search. It does not explicitly contrast itself with siblings like search_answers or get_answer, so it is clear but not sibling-differentiating.

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?

There is no explicit when-to-use guidance and no mention of alternatives such as search_answers or get_answer. The 'list all' framing only implicitly suggests a browse use case, leaving the agent to infer when this beats a search.

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