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aashnakunk

fastf1-mcp

by aashnakunk

driver_telemetry

Retrieve summarized telemetry stats including top speed, average speed, throttle application, and braking intensity for any driver's lap. Defaults to fastest lap if no lap number specified.

Instructions

Get summarized telemetry stats for a driver's lap.

Returns top speed, average speed, throttle application percentage, braking intensity, and other derived metrics. Defaults to the driver's fastest lap if no lap number is specified.

Use this when the user asks about speed, braking, throttle traces, or driving style analysis.

Args: driver: Driver name, code, or number (e.g. "Verstappen", "VER", "1") lap_number: Specific lap number, or -1 for the driver's fastest lap (default: -1)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
driverYes
lap_numberNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided. Description does not disclose behavioral traits like read-only nature, authorization needs, or rate limits. While it explains output and default, safety implications are absent.

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?

Concise and well-structured: single-sentence summary, then bullet-like details, usage guidance, and parameter descriptions. No fluff.

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?

Covers inputs and output nature well. With output schema present, missing explicit output list is acceptable. However, does not mention session context requirement (assumes a session is loaded), slightly incomplete.

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

Parameters5/5

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

Despite 0% schema coverage, description adds meaning: driver can be name/code/number, lap_number defaults to -1 (fastest lap). This clarifies usage beyond schema's type/default.

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?

Clearly states it returns summarized telemetry stats for a driver's lap, listing examples like top speed and average speed. Distinguishes from siblings as the only telemetry-focused tool.

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

Usage Guidelines5/5

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

Explicitly says to use when user asks about speed, braking, throttle, or driving style analysis. Also explains default behavior (fastest lap if no lap number). Provides clear context for appropriate usage.

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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