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. It discloses data source (Ergast API via FastF1) and temporal coverage (1950-present), which is useful behavioral context. However, it doesn't mention rate limits, authentication needs, error conditions, or whether this is a read-only operation (though 'Get' implies it).

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 (Args, Returns, Note) and front-loaded purpose. Every sentence earns its place. Could be slightly more concise by combining some lines, but overall efficient with no wasted words.

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 has an output schema (as indicated by context signals), the description doesn't need to explain return values in detail. It provides sufficient context about parameters, usage guidelines, and behavioral aspects. The combination of purpose, parameter semantics, and explicit usage guidance makes this complete for a read operation.

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 0%, so the description must compensate fully. It does this excellently: it explains that 'driver_id' is an 'Ergast driver ID' with examples ('max_verstappen', 'hamilton') and clarifies 'If None, returns all drivers'. It also explains 'year' parameter as 'Filter to drivers who raced in this season'. This provides complete semantic understanding beyond the bare schema.

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: 'Get driver information' with specific details about data source (Ergast API via FastF1) and coverage (1950-present). It distinguishes from sibling 'list_drivers' by focusing on biographical details rather than listing. However, it doesn't explicitly contrast with 'get_driver_standings' which might also provide driver information.

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 excellent usage guidance with explicit alternatives: 'Use get_session_results to find driver codes, then use this for biographical details.' This tells the agent exactly when to use this tool versus other tools in the ecosystem, addressing the sibling relationship directly.

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