Skip to main content
Glama
lacausecrypto

Sports Hub MCP Server

openf1: Get stints

openf1_get_stints
Read-onlyIdempotent

Retrieve stint data (tire compound, stint number, lap count, tire age) for each driver in a Formula 1 session. Filter by driver number or tire compound.

Instructions

Get stint data including tire compound, stint number, lap counts, and tire age for each driver.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
compoundNoTire compound filter (e.g. 'SOFT', 'MEDIUM', 'HARD', 'INTERMEDIATE', 'WET')
session_keyYesSession identifier (required)
driver_numberNoFilter by driver number
Behavior4/5

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

Annotations already declare readOnly, openWorld, and idempotent hints. Description adds value by specifying the output fields (tire compound, stint number, etc.), which gives the agent a clearer picture of what to expect. No contradictions present.

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?

A single, front-loaded sentence conveying the purpose and key output fields. No wasted words; every element earns its place.

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 no output schema, the description partially explains return fields (tire compound, stint number, lap counts, tire age). It could be more exhaustive but covers core aspects. Annotations supply safety context, reducing the burden.

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?

Schema coverage is 100%, so schema descriptions already document parameters. The description's summary of output fields adds minor context but does not elaborate on parameter usage beyond what's in the schema. Baseline 3 is appropriate.

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 it retrieves stint data with specific fields (tire compound, stint number, lap counts, tire age). It is distinct from sibling OpenF1 tools like get_laps or get_pit.

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

Usage Guidelines3/5

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

Description only states what it does, with no guidance on when to use it or when not to. No alternatives or exclusions mentioned. Adequate but lacking differentiation context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lacausecrypto/mcp-sports-hub'

If you have feedback or need assistance with the MCP directory API, please join our Discord server