fastf1-mcp-server

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: data source (FastF1 Live Timing), coverage (2018-present), sampling behavior (raw telemetry has 5000+ points, response is sampled to sample_size), and caps (max 500 points). It doesn't mention rate limits or authentication requirements.

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?

Perfectly structured with clear sections (description, args, returns, example, note), zero wasted sentences, and front-loaded purpose. Every sentence adds value, from data source details to sampling behavior explanation.

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 (6 parameters, telemetry data), no annotations, and 0% schema coverage, the description is remarkably complete. It explains parameters thoroughly, provides return format details (though output schema exists), includes practical examples, and discloses important behavioral constraints like data sampling.

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 semantics: year range (2018+), event formats (race name or round number), session type examples (R, Q, S, FP1, etc.), driver code format, lap options (number or 'fastest'), and sample_size details (default 200, max 500).

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 specific action ('Get telemetry data') and resource ('for a specific lap'), with data source and coverage details. It distinguishes this tool from siblings like 'get_lap_times' or 'get_fastest_laps' by focusing on telemetry rather than timing results.

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 through the examples and notes about data sampling. However, it doesn't explicitly mention when NOT to use it or name alternatives like 'compare_telemetry' for comparative analysis.

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