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Sports Hub MCP Server

openf1: Get pit

openf1_get_pit
Read-onlyIdempotent

Retrieve Formula 1 pit stop data by session, including pit lane time and duration per stop. Filter by driver number or maximum pit duration.

Instructions

Get pit stop data including pit lane time and duration for each stop.

Input Schema

NameRequiredDescriptionDefault
fieldsNoKeys to keep (comma-separated).
session_keyYesSession identifier (required)
driver_numberNoFilter by driver number
pit_duration_lteNoMaximum pit duration in seconds (pit_duration<=value)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.4.1
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • addedInput schema / properties / fields
      Added value: +{
      +  "description": "Keys to keep (comma-separated).",
      +  "type": "string"
      +}
  2. Changed1 schema field changedv1.3.0
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observedv1.2.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered. The description adds only the data content (pit lane time, duration per stop) and says nothing about the required session scope, filtering behavior, or result ordering — modest added value given the annotations do the heavy lifting.

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

Conciseness4/5

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

A single front-loaded sentence with zero filler and no repetition of the title. It is efficient, though its brevity borders on under-specification for a four-parameter tool.

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

Completeness3/5

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

With no output schema, the description carries the burden of explaining what comes back, and 'pit stop data including pit lane time and duration' is only a partial answer — no mention of the required session_key scope, the driver-number filtering, the pit_duration_lte threshold, or the record shape. Adequate but with clear gaps.

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 all four parameters (fields, session_key, driver_number, pit_duration_lte) are already documented in the schema. The description adds no syntax, units, or constraint detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource (get pit stop data) and names the returned quantities (pit lane time, duration). It does not differentiate itself from the sibling f1_get_pit_stops, which appears to cover the same subject from a different provider, leaving the agent to infer the distinction from the openf1_ prefix alone.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no stated prerequisites, and no mention of alternatives such as f1_get_pit_stops or related openf1 endpoints (stints, laps). The agent gets no signal about when this tool is the right choice.

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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