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aashnakunk

fastf1-mcp

by aashnakunk

race_result

Retrieve the full race classification including finishing order, podium positions, DNFs, and points scored for any Formula 1 session.

Instructions

Get the full race classification — who finished where.

Use this when the user asks about race results, who won, podium positions, DNFs, points scored, or finishing order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description indicates it returns race classification data, implying a read operation. However, with no annotations and no mention of prerequisites (e.g., needing a session selected), the behavioral transparency is adequate but could be improved by noting context dependencies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences: the first states the core purpose, the second gives usage examples. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no parameters) and the presence of an output schema, the description is largely complete. It could mention the need for an active race session, but this is implicit from the domain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, so the baseline is 4. The description does not need to explain parameters, and it appropriately focuses on the tool's purpose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get' and resource 'full race classification', and lists specific examples like who won, podium, DNFs, points, and finishing order. This makes the tool's purpose distinct from sibling tools like qualifying_result.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use this when the user asks about race results, who won, podium positions, DNFs, points scored, or finishing order.' This provides clear usage context, though it does not mention alternatives or when not to use it.

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

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