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darshjoshi

Pitwall F1

by darshjoshi

Compare Two Drivers

get_driver_comparison
Read-onlyIdempotent

Compare two F1 drivers head-to-head on position, pace, strategy, and pit stops to see who performed better in a chosen race, season, or session.

Instructions

Compare two drivers head-to-head — position, pace, strategy, pit stops.

Args: driver_a: First driver TLA (e.g. 'VER') driver_b: Second driver TLA (e.g. 'HAM') year: Season year race: Race name (partial match) session_type: Session type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raceNo
yearNo
driver_aYes
driver_bYes
session_typeNoRace

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered structurally. The description adds only the set of comparison dimensions returned, with no mention of data source, live-vs-historical behavior, or rate/latency characteristics.

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?

One front-loaded sentence followed by a compact args list; nothing is padded. The args list duplicates the schema property names but earns its place by supplying semantics the schema lacks.

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

Completeness5/5

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 description covers the non-obvious input semantics (driver TLA format, race partial matching) needed to invoke the tool. For a read-only comparison tool this is sufficient to call 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% — the schema supplies titles only — so the description carries the full parameter burden, and it does so by explaining each of the five parameters. It adds TLA examples ('VER', 'HAM') and the crucial 'partial match' semantics for race, though it omits the defaults (year 2026, session_type 'Race') present in the schema.

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+resource ('Compare two drivers head-to-head') and enumerates the compared dimensions (position, pace, strategy, pit stops), which is more informative than the title alone. It does not name how it differs from near-siblings such as compare_sector_times, team_head_to_head, or plot_driver_telemetry_comparison, so differentiation is left to the agent.

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 guidance, no prerequisite or exclusion statements, and no routing to alternatives. With siblings like team_head_to_head, compare_strategies and compare_sector_times overlapping heavily, the absence of any disambiguation is a real gap.

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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