get_analysis

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the tool returns 'AnalysisResponse' but doesn't describe format, pagination, rate limits, authentication needs, or error conditions. The examples help but don't fully compensate for missing behavioral context about what 'advanced analysis' entails operationally.

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?

Well-structured with clear sections (description, Args, Returns, Examples). The description is front-loaded with key information. Some redundancy exists between the initial description line and the Args section, but overall efficient with each sentence adding value. Could be slightly more concise in the opening line.

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 complexity (5 parameters, 4 required), no annotations, but with output schema present, the description provides good coverage. The parameter semantics are well-explained, and examples illustrate usage. Missing behavioral context about rate limits or authentication lowers the score, but overall adequate for the tool's analytical purpose.

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, the description fully compensates by providing detailed parameter explanations: year constraints (2018+), gp format (name or round), session enum values, analysis_type enum with meanings, and driver optionality. The Args section adds significant value beyond the bare schema, explaining what each parameter means and how to use them.

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 performs 'Advanced race analysis' with specific analysis types (pace, tire degradation, stint summaries, consistency metrics). It distinguishes from siblings like get_laps or get_session_results by focusing on analytical metrics rather than raw data. However, it doesn't explicitly differentiate from compare_driver_telemetry which might also involve analysis.

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 implies usage through examples showing when to use specific analysis types, but lacks explicit guidance on when to choose this tool over alternatives like get_tire_strategy or compare_driver_telemetry. No 'when-not' scenarios or prerequisites are mentioned, leaving the agent to infer appropriate contexts from the parameter descriptions.

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