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

With no annotations, the description carries the full burden and does so well: it discloses the static-snapshot origin, the per-country backend-first/fallback-static behaviour, and the semantics of key outputs (clearance_ok, warning, scope, count vs conflict_count, visual_similarity, TRO/enforcement). It omits auth/rate-limit/performance characteristics, keeping it out of the top band.

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 purpose is front-loaded, but the body is a dense wall of text that largely restates the input schema field-for-field, so a large fraction of the tokens do no additional work. Ordering mixes parameter rules, output-field caveats, and unrelated historical-interface notes without clear structure.

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?

With no output schema and no annotations, the description supplies the missing output-field semantics (clearance_ok, warning, scope, count, has_conflicts, conflict_count, visual_similarity) and provenance caveats, which is substantial. It still leaves the operator without guidance on permissions or result-size/pagination behaviour.

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 100%, and the description text is essentially identical to the parameter's schema description, so it adds no meaning the schema does not already carry. The rules (trim/uppercase, UK/EU/WO codes, no multi-country lists, supported code list) are all duplicated verbatim in the schema. Baseline 3.

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 opening sentence states a specific verb+resource: '查询 One1 已覆盖国家/地区的数据范围和覆盖限制' (query One1's covered countries' data scope and coverage limits). It also implicitly differentiates from siblings by noting that number/owner tools only query local sources and that graphical interfaces behave differently, though it never names a sibling tool directly.

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?

It gives a clear call pattern ('先调用 coverage_info(country="") 获取覆盖清单，再以目标代码查询各国覆盖') and explicit exclusions about what the result does NOT prove ('不证明每个工具均支持该辖区', '无命中不等于可注册或不侵权'). It does not, however, name an alternative tool to use instead for any given case.

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