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lacausecrypto

Sports Hub MCP Server

openf1_get_car_data

Retrieve detailed Formula 1 car telemetry including speed, RPM, gear, throttle, brake, and DRS. Use date and speed filters to limit data volume for a specific session or driver.

Instructions

Get detailed car telemetry: speed, RPM, gear, throttle, brake, DRS. WARNING: This endpoint returns massive amounts of data (multiple samples per second per car). Always use date_gte and date_lte filters to limit the time window, ideally to a few seconds or a single lap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_keyYesSession identifier (required)
driver_numberNoFilter by driver number (highly recommended)
speed_gteNoMinimum speed in km/h (speed>=value)
speed_lteNoMaximum speed in km/h (speed<=value)
date_gteNoStart datetime filter (ISO 8601, e.g. '2024-03-02T14:00:00'). Highly recommended to limit data volume.
date_lteNoEnd datetime filter (ISO 8601, e.g. '2024-03-02T14:00:10'). Highly recommended to limit data volume.
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It warns about high data volume and sampling frequency, which is crucial. However, it does not mention idempotency, authentication, rate limits, or any side effects. The warning is helpful but insufficient for full transparency.

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: two sentences, first states purpose, second provides crucial warning and guidance. No unnecessary words.

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

Completeness2/5

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

Given the complexity and lack of output schema, the description should explain the structure of the response, pagination, or any limits. It only covers data volume and filtering. For a detailed telemetry endpoint, this is insufficient for an agent to fully understand the tool's output.

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

Parameters3/5

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

All 6 parameters are documented in the input schema with descriptions. The description does not add new parameter information beyond the schema; it simply reinforces the use of date filters. Baseline 3 is appropriate because schema coverage is 100%.

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 'Get detailed car telemetry' and enumerates key data fields (speed, RPM, gear, throttle, brake, DRS). This distinguishes the tool from other openf1 tools like driver info or lap times. The purpose is specific and actionable.

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 includes a warning about massive data and explicitly recommends using date_gte and date_lte filters, with guidance on time window size (few seconds or a single lap). This provides clear usage context. However, it does not specify when not to use this tool or suggest alternatives.

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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