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Get Meetings

get_meetings
Read-onlyIdempotent

List Formula 1 meetings (Grand Prix weekends). Live race data source. Filter by year and/or country. Returns meeting_key, official name, country, circuit, location, date.

Input Schema

NameRequiredDescriptionDefault
yearNoSeason year, e.g. 2024.
country_nameNoHost country, e.g. "Bahrain", "Italy".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "year": 2024
      +  },
      +  {
      +    "country_name": "Italy",
      +    "year": 2024
      +  }
      +]
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds that it is a 'Live race data source', implying data freshness, but does not disclose behavioral traits like pagination, rate limits, or potential staleness. No contradictions with annotations.

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 two sentences long—concise and front-loaded with the core purpose, followed by key details. Every sentence adds value 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?

Without an output schema, the description lists the return fields (meeting_key, official name, country, etc.), which aids understanding. However, it omits potential aspects like pagination behavior or maximum results, but given the tool's simplicity and annotations, it is largely complete.

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 the schema already documents both parameters. The description reiterates that users can filter by year and country, adding the useful 'and/or' clarification, but does not add substantial new meaning beyond the schema descriptions.

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 uses a specific verb 'List' and clearly identifies the resource as 'Formula 1 meetings (Grand Prix weekends)'. It distinguishes from siblings by focusing on meetings rather than sessions or drivers, but does not explicitly contrast with related tools like get_sessions.

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 description states when to use the tool ('Filter by year and/or country') and provides filtering context. However, it does not specify when not to use it or mention alternative tools for different scopes (e.g., get_sessions for individual sessions).

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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