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Sports Hub MCP Server

f1: Get constructors

f1_get_constructors
Read-onlyIdempotent

Fetch Formula 1 constructors or teams for a chosen season or all-time, with pagination and field filters for focused results.

Instructions

List Formula 1 constructors/teams for a given season or all-time.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of results to return (default 30, max 1000)
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

A3.6/5.0
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 season-vs-all-time scoping; it says nothing about result size, pagination behavior, or what 'all-time' returns differently.

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 sentence with the verb and resource front-loaded and zero filler. Every word 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?

For a read-only list endpoint with annotations covering safety and a fully documented schema, plus no output schema to explain, this is close to complete. It would reach 5 with a note on what constructors fields are returned or how all-time differs from a season query.

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 limit, fields, offset and season are fully documented in the schema already. The description only restates the season dimension, adding no syntax or format detail beyond the schema; 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 ('List Formula 1 constructors/teams') plus the scoping dimension (season or all-time), so an agent can distinguish it from f1_get_constructor_standings or f1_get_drivers. It doesn't explicitly name a sibling to differentiate against, keeping it below a 5.

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?

The phrase 'for a given season or all-time' implies how the season parameter drives the query, but there is no explicit when-to-use guidance or named alternative (e.g. use f1_get_constructor_standings for points tables). Usage is implied rather than stated.

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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