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DanielTomaro13

sportsdata-mcp

openf1_location

Read-onlyIdempotent

Retrieve a driver's car track position (x, y, z) at ~3.7 Hz for a given session. Requires session_key and driver_number to filter high-volume spatial data.

Instructions

Car (x, y, z) track position at ~3.7 Hz. HIGH VOLUME: always pass session_key + driver_number (and ideally a date window on the raw API).

Returns: [{date, driver_number, x, y, z, session_key}] (top-level array; large)

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_keyNoMeeting key, or 'latest'.
session_keyYesSession key, or 'latest'.
driver_numberYesCar number (required — high-frequency spatial data).
Behavior5/5

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

Annotations already declare read-only, open-world, and idempotent hints. The description adds meaningful behavioral context: real-time sampling rate (~3.7 Hz), high-volume warning, return shape as a top-level large array, and no auth needed. This enriches beyond the annotations without any contradiction.

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 and well-structured: first sentence states the data and frequency, second warns about high volume and required parameters, third gives the return shape, fourth states auth. Every sentence earns its place with no redundancy.

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?

For a simple location tool with no output schema, the description covers data, frequency, usage constraints, return shape, and auth. It lacks explicit differentiation from similar openf1 tools (e.g., openf1_position) or coordinate system details, but overall it provides sufficient guidance for correct invocation.

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?

The input schema has 100% description coverage for all three parameters. The description reiterates the necessity of session_key and driver_number but does not add new semantic details beyond the schema, such as exact formats for 'latest' or how a date window would be specified.

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

Purpose4/5

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

The description clearly identifies the tool as returning car track position (x,y,z) at ~3.7 Hz, specifying the resource and data fields. However, it does not explicitly differentiate from sibling tools like openf1_position or openf1_car_data, relying on the coordinate details rather than naming alternatives.

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 warns about HIGH VOLUME and instructs to always pass session_key and driver_number, and ideally a date window, which is clear usage context. It does not mention explicit alternatives or when-not-to-use scenarios, so it stops short of a top score.

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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