get-weread-rank

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

No annotations are provided, so the description carries full burden. While it describes what data is returned (reading data and ranking information), it doesn't disclose important behavioral traits: whether this is a read-only operation, rate limits, authentication requirements, data freshness, pagination, or error conditions. For a ranking tool with no annotation coverage, this is a significant 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 a single, efficient Chinese sentence that communicates the core purpose. It's appropriately sized for a simple ranking tool, though it could be more front-loaded with the most critical information about the optional category parameter.

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?

Given no annotations, no output schema, and a parameter with 0% schema coverage, the description is incomplete. It doesn't explain the category parameter, return format, or behavioral constraints. For a tool that presumably returns structured ranking data, more context about what information is returned and how to use the optional filtering would be helpful.

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?

The input schema has 1 parameter (category) with 0% description coverage. The tool description provides no information about this parameter - it doesn't mention categories at all, what values are accepted, or how filtering by category works. With low schema coverage, the description fails to compensate for the undocumented parameter.

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 clearly states the tool's purpose: '获取微信读书排行榜' (get WeChat Reading rankings) with specific resources mentioned (popular novels, bestsellers, new book recommendations, literary works). It distinguishes from siblings by specifying the WeChat Reading platform, but doesn't explicitly differentiate from other ranking tools like get-douban-rank or get-bilibili-rank beyond the platform name.

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 provides no guidance on when to use this tool versus alternatives. With 20 sibling tools including other ranking/trending tools (get-douban-rank, get-bilibili-rank, get-smzdm-rank, etc.), there's no indication of when this specific WeChat Reading ranking tool is appropriate versus other ranking tools or news/trending tools.

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