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darshjoshi

Pitwall F1

by darshjoshi

Tyre Strategy

get_tyre_strategy
Read-onlyIdempotent

Retrieve every driver's tyre strategy for a Formula 1 race or session, covering compound choices, stint lengths, and new versus used tyres.

Instructions

Get tyre strategy for every driver — compound, stint length, new/used tyres.

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?

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld, so the safety profile is covered. The description adds content scope (per-driver compound, stint length, tyre age status but stops short of stating coverage limits such as past vs live sessions, pagination, or how multiple stints per driver are represented.

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 key purpose sentence is front-loaded and the args list is compact with no filler. Slightly under-elaborated rather than padded, which is the right direction.

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 needn't be explained, and annotations cover safety. However, for a tool sitting among many overlapping tyre/stint siblings, the missing usage routing and the undocumented defaults leave the definition only minimally sufficient.

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 0%, so the description must carry param meaning. It clarifies 'race' as a partial match, which is genuinely useful, but 'year: Season year' and 'session_type: Session type' merely restate the names and the non-obvious defaults (year=2026, session_type='Race') are not disclosed.

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 specific verb and resource ('Get tyre strategy for every driver') and enumerates the data returned (compound, stint length, new/used tyres), which makes the tool's output distinguishable. It does not name or differentiate itself from near-neighbors like get_driver_tyre_detail, get_stint_analysis, or get_live_tyres, so an agent must infer the split from the phrase 'for every driver'.

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 when-to-use, when-not-to-use, or alternative-tool guidance. With many tyre/stint siblings (get_driver_tyre_detail, get_live_tyres, compare_tire_compounds, compare_tire_age_performance), the agent is left to guess which to call.

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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