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darshjoshi

Pitwall F1

by darshjoshi

Session Results

get_standings
Read-onlyIdempotent

Retrieve Formula 1 race, sprint, or qualifying classifications with positions, gaps, best laps, pit stops, and retirements by year and race.

Instructions

Get race classification — positions, gaps, best laps, pit stops, retirements.

Args: year: Season year (2018-2026) race: Race name (partial match — 'china', 'australia', 'monaco') session_type: 'Race', 'Qualifying', 'Sprint', etc.

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

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the shape of the returned classification (positions, gaps, best laps, pit stops, retirements), but says nothing about pagination, rate limits, or behavior for invalid year/race combinations.

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 operation is front-loaded in one sentence, followed by a compact Args block giving per-parameter meaning. Every sentence carries information; no filler or repetition of structured fields.

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 explained, and annotations cover the safety profile. The remaining gap is the absence of routing guidance against the dense set of result/session siblings, which an agent would need to pick correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% (only titles and defaults), so the description must carry the load, and it does: it gives the year range 2018-2026, notes that 'race' is a partial match with concrete examples, and lists sample session_type values. It stops short of enumerating the full allowed set or stating case-sensitivity.

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 (get race classification) and enumerates the exact payload — positions, gaps, best laps, pit stops, retirements — so the agent knows what comes back. It does not, however, differentiate itself from the many overlapping siblings such as get_race_results, get_session_summary, or get_sprint_results.

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 when-to-use or when-not-to-use guidance is given, and no alternative is named. With siblings like get_race_results and get_championship_standings in the same namespace, the agent has no stated rule for choosing this tool over them beyond guessing from the parameters.

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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