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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: results are statistics-level only, contain no questions/answers, and include on-site links that the agent is expected to surface. It does not discuss empty/no-data behavior, which is the only real 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 output payload is front-loaded in the first clause, followed by trigger examples and then the critical scope caveat. The example list is somewhat long but each phrase is a distinct routing hook, so only minor trimming is possible.

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 explanation is unnecessary, and annotations cover the safety profile. The description supplies the scope boundary (statistics only, no questions) that the structured fields cannot express; only the behavior when no data matches the unit/section is left unstated.

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 100%, so the schema already documents unit, detail, and section (including defaults and the either/or rule). The description only loosely mirrors this with '某家企业或某个考试板块' and adds no syntax, alias, or fallback detail beyond the schema, so the baseline 3 applies.

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 (查询) and resource (笔试考情) and then enumerates exactly what is returned: total question count, question-type ranking, past paper list with year/role, and real-vs-mock composition. This is clearly distinct from the siblings (get_company_profile, get_job_detail, get_stats), so an agent can route without opening the schema.

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?

Gives concrete trigger phrasings (「XX 笔试考什么」「XX 有没有历年真题」etc.) that map user intent to this tool, and explicitly states the out-of-scope case: it does not provide actual questions or answers, and the user should be directed to the returned on-site links. Both the when-to-use and the when-not-to-use are present.

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