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Machine-To-Machine

Formula One MCP Server (Python)

compare_drivers

Compare performance statistics for multiple Formula One drivers. Provide season year, event, session, and driver codes to obtain comparative data.

Instructions

Compare performance between multiple Formula One drivers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesSeason year (e.g., 2023)
event_identifierYesEvent name or round number (e.g., 'Monaco' or '7')
session_nameYesSession name (e.g., 'Race', 'Qualifying', 'Sprint', 'FP1', 'FP2', 'FP3')
driversYesComma-separated list of driver codes (e.g., 'HAM,VER,LEC')
Behavior2/5

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

With no annotations, the description should disclose behavioral traits like side effects, rate limits, or return format, but it only states the purpose. It does not indicate that the tool is read-only or what performance metrics are compared.

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 with no wasted words, achieving efficient communication of the tool's purpose.

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 description is minimal given the tool's complexity (4 required parameters, no output schema, multiple siblings). It does not explain what 'performance' entails, how comparison is presented, or any constraints like driver codes.

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 each parameter already has a description. The tool description adds no additional meaning to the parameters; baseline score of 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 'Compare performance between multiple Formula One drivers' with a specific verb and resource, and it distinguishes from siblings like 'get_driver_info' or 'analyze_driver_performance' by focusing on comparison across multiple drivers.

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?

No guidance is provided on when to use this tool vs alternatives such as 'analyze_driver_performance' or 'get_session_results'. The description does not mention context or exclusions.

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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