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Machine-To-Machine

Formula One MCP Server (Python)

get_event_info

Retrieve detailed information about a Formula One Grand Prix by specifying the season year and event name or round number.

Instructions

Get detailed information about a specific Formula One Grand Prix

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesSeason year (e.g., 2023)
identifierYesEvent name or round number (e.g., 'Monaco' or '7')
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'get detailed information' without mentioning data freshness, permissions, or what 'detailed' means. The lack of any behavioral context leaves the agent guessing.

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 a single concise sentence that immediately conveys the tool's purpose. It is front-loaded and contains no unnecessary words.

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

Completeness2/5

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

The tool lacks an output schema and the description does not specify what 'detailed information' includes. Given the complexity of F1 data, the description is incomplete—it fails to set expectations for the response content, leaving the agent in the dark.

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% with descriptions for both parameters (year and identifier). The description adds no extra meaning beyond the schema's parameter descriptions. With high coverage, 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 the tool's function: retrieving detailed information about a specific Formula One Grand Prix. The verb 'Get' and resource 'detailed information' are explicit, and it distinguishes from siblings like get_event_schedule (schedule) and get_session_results (results).

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 provides no explicit guidance on when to use this tool versus alternatives like get_event_schedule or get_driver_info. The purpose is implied but no exclusions or comparative context are given.

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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