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darshjoshi

Pitwall F1

by darshjoshi

Session Weather

get_weather
Read-onlyIdempotent

Fetch temperature, rain, wind, and humidity for a Formula 1 session using year, race, and session type to assess race conditions.

Instructions

Get weather conditions during a session — temperature, rain, wind, humidity.

Args: year: Season year race: Race name (partial match) session_type: Session type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raceNo
yearNo
session_typeNoRace

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, covering the safety profile. The description adds the weather metrics but does not disclose any additional behavioral traits such as caching, data source, or rate limits.

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?

The description is short, front-loaded with the core purpose, and uses a compact Args section. It avoids unnecessary wording, though the parameter list could be slightly more informative without becoming verbose.

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

Completeness3/5

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

An output schema exists, so return values need not be described, and the annotations cover the safety profile. However, the description does not clarify the distinction from get_live_weather or what session_type values are accepted, leaving an agent to infer important context.

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 0%, so the description carries the full burden. It lists all three parameters, but only 'race (partial match)' adds meaningful semantic detail; 'year: Season year' and 'session_type: Session type' largely restate the parameter names.

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 states a clear verb and resource: 'Get weather conditions during a session,' and lists the returned conditions (temperature, rain, wind, humidity). It does not, however, distinguish this tool from siblings such as get_weather_data or get_live_weather.

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 explicit guidance on when to use this tool versus alternatives like get_weather_data or get_live_weather. The phrase 'during a session' implies a context but does not provide exclusions or selection criteria.

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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