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Sports Hub MCP Server

f1: Get sprint

f1_get_sprint
Read-onlyIdempotent

Retrieve Formula 1 sprint race results for a specific season and round, with pagination and field options.

Instructions

Get Formula 1 sprint race results for a specific round.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of results to return (default 30, max 1000)
roundNoRound number within the season
fieldsNoKeys to keep (comma-separated).
offsetNoNumber of results to skip for pagination
seasonNoSeason year (e.g. "2024") or "current" (default: "current")

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 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"
      +}
    • removedInput schema / properties / offset / maximum
      Removed value: -9007199254740991
  2. Changed2 schema fields changedv1.3.0
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / offset / maximum
      Added value: +9007199254740991
  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, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds only the round-scoping constraint and nothing about return format, pagination, or data completeness, so it is minimal but not contradictory.

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 no waste. It is efficient, though arguably under-specified rather than richly concise.

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 read-only lookup tool with full schema coverage and annotations covering the safety profile, the description is adequate to invoke correctly. The absence of output schema means return-shape explanation would have helped, but the core need is met.

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 description coverage is 100%, so all five parameters (limit, round, fields, offset, season) are already documented in the schema. The description adds no syntax or format detail beyond what the schema provides, making the baseline 3 appropriate.

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 (get), resource (Formula 1 sprint race results), and scope (specific round), clearly distinguishing this from the regular-race sibling f1_get_race_results via the word 'sprint'. However it does not explicitly name any sibling to route the agent.

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 prerequisites, and no explicit alternatives named. The sprint-vs-race distinction is implied by the word 'sprint' but the description never tells the agent when to prefer this over f1_get_race_results or f1_get_qualifying.

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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