get_fastest_laps

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

In absence of annotations, description fully discloses behavior: returns one fastest lap per driver, includes only accurate laps, sorted by time. Provides example with return structure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with clear sections (Args, Returns, Example) and no fluff. Slightly long but each sentence earns its place. Example adds significant value.

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

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

Given the tool's complexity and sibling context, the description is complete: specifies data source, coverage, parameters, return format with example. Output schema exists further reduces burden.

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

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

Despite 0% schema description coverage, the description compensates fully by explaining each parameter (year, event, session, top_n) with defaults and an example, adding meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool retrieves fastest laps per driver in a session, differentiating it from siblings like get_lap_times (all laps) or get_session_results (full race results).

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

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

Description implies usage for fastest lap data with coverage details, but lacks explicit when-to-use or when-not-to-use compared to similar tools. However, the purpose is clear enough for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.