analyze_user_interests

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

With no annotations, the description must disclose behavioral traits. It merely says 'analyze' and 'build profile' without clarifying whether this is read-only, whether it persists data, or what side effects occur. The lack of safety/disclosure info is a significant gap for a tool that could involve user data processing.

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, concise sentence that efficiently conveys the core purpose. No wasted words or redundant phrasing. It is appropriately front-loaded and structured.

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 absence of output schema and annotations, the description is too minimal. It does not explain expected return values, how the flags affect the result, or whether any data is persisted. The complexity of user-profile building calls for more context than provided.

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%, with each parameter having a clear meaning (e.g., include_behavior_analysis: 'whether to include behavior analysis'). The tool description adds little beyond that, but the schema already provides sufficient semantics. Baseline of 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?

The description clearly states the tool's purpose: '分析用户兴趣和行为模式，构建用户画像' (analyze user interests and behavior patterns, build user profile). This distinguishes it from sibling tools like get_user_recommendations (recommendations) and get_user_profile (retrieval), making its scope specific and unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives. Sibling tools like generate_user_report and get_user_recommendations could overlap, but the description offers no context for selection, nor does it mention any prerequisites or exclusions.

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