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darshjoshi

io.github.darshjoshi/pitwall

by darshjoshi

get_driver_comparison

Compare two F1 drivers head-to-head across position, pace, strategy, and pit stops by specifying their three-letter codes, season, race, and session type.

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
Behavior3/5

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

No annotations exist, so the description must carry the full burden of behavioral disclosure. It mentions compared aspects but does not disclose if data is historical or live, what happens on invalid driver codes, or the response structure. The brief description falls short given the lack of annotations.

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 extremely concise: one line for purpose, then a clean Args list. Every sentence adds value, and the purpose is front-loaded. No wasted words.

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

Completeness4/5

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

Given the complexity of 5 parameters, no annotations, and 29 sibling tools, the description is fairly complete for what it covers (purpose, arguments), but lacks usage guidance and behavioral details. The presence of an output schema reduces the need to document return values, but agent still needs more context.

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?

With 0% schema description coverage, the description compensates well by providing examples for driver_a and driver_b ('VER', 'HAM'), noting 'partial match' for race, and listing session_type. This adds meaning beyond the schema's vague titles, though details like year range or default behaviors are missing.

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 the verb 'compare' and specifies the resource 'two drivers'. It lists aspects compared: position, pace, strategy, pit stops, distinguishing it from sibling tools like get_historical_results which likely focus on a single driver or general data.

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 versus the many sibling tools (e.g., get_telemetry, get_lap_times). An agent would not know whether this is the best choice for a head-to-head comparison or if other tools are more appropriate.

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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