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compare_drivers

Compare stint-by-stint tyre degradation across multiple F1 drivers to identify performance trends and inform race strategy decisions.

Instructions

Stint-by-stint degradation comparison across several drivers.

Args: drivers: Three-letter codes, e.g. ["VER", "NOR", "LEC"].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
circuitYes
driversYes
session_typeNoR
Behavior2/5

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

With no annotations to indicate read-only or side-effect behavior, the description carries the full burden of transparency. It fails to mention whether this is a safe read operation, what the output format is (e.g., table, chart), or any assumptions about data availability (e.g., requires race weekend). The description only states the comparison intent without disclosing behavioral traits.

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 very concise, leading with a clear purpose sentence and then providing a parameter example. It is well-structured and front-loaded. However, it omits documentation for three of four parameters, making it efficient but incomplete; still, what is written earns its place.

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

Completeness2/5

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

The tool has 4 parameters, no output schema, and no annotations, so the description must provide substantial context. It only covers one parameter, ignores required inputs like year and circuit, and does not explain the expected output or how this tool relates to sibling functions. This is insufficient for an agent to confidently invoke the tool.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only documents the 'drivers' parameter with an example format ('Three-letter codes'), but entirely omits 'year', 'circuit', and 'session_type' (which has a default). This leaves most parameters unexplained, providing minimal added meaning beyond the raw schema.

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 a specific verb ('comparison') and resource ('stint-by-stint degradation across several drivers'), making it distinct from related tools like get_driver_stints (which likely returns raw stint data) and get_degradation (which may focus on a single driver). This purpose is immediately understandable and differentiates the tool well.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when one needs to compare degradation across multiple drivers, but it does not explicitly state when to prefer this tool over siblings such as get_degradation or get_driver_stints. No exclusions or alternative recommendations are provided, leaving usage context to be inferred.

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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