TrendRadar

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does well by explaining what the tool does (pulls data), what it returns (JSON with specific fields), configuration requirements (config.yaml or environment variables), and example usage patterns. It doesn't mention rate limits, authentication details beyond env vars, or error handling specifics.

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 well-structured with clear sections (Args, Returns, Examples, Note) and front-loaded the core purpose. While comprehensive, some information could be more concise - the configuration details are quite detailed. Every sentence adds value, but the overall length is substantial for a single-parameter tool.

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 the tool's complexity (data synchronization with configuration requirements), no annotations, and the presence of an output schema, the description is remarkably complete. It covers purpose, usage context, parameter details, return format, examples, and configuration prerequisites - providing everything needed to understand and use the tool effectively.

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?

With 0% schema description coverage and only 1 parameter, the description fully compensates by providing comprehensive parameter semantics. It explains the 'days' parameter with its default value (7), meaning (pull data from recent N days), and specific examples of values (0, 7, 30) with their interpretations.

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 with specific verbs ('从远程存储拉取数据到本地' - pull data from remote storage to local) and resources (data from cloud storage like Cloudflare R2). It distinguishes itself from sibling tools by focusing on data synchronization rather than analysis, search, or notification functions.

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 clear context about when to use this tool ('用于 MCP Server 等场景' - for MCP Server scenarios where crawlers store data in remote cloud storage and MCP Server pulls it locally for analysis). However, it doesn't explicitly state when NOT to use it or mention specific alternatives among the sibling tools.

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