lap_times

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

With no annotations, the description carries full burden. It discloses fuzzy matching for driver names and mentions included data (tyre compound, stint info). However, it does not describe output format, session dependency, or any potential side effects, leaving some behavioral gaps.

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?

The description is well-structured with a purpose statement, usage guidance, and parameter details. It is concise but could potentially be tightened by removing redundancy in the parameter examples. Still, it's informative without excessive length.

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 single parameter and presence of an output schema, the description covers the tool's purpose, usage context, and parameter semantics adequately. It could mention that a session must be loaded (implied by context signals and sibling tools), but overall it is sufficient.

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?

The input schema has a single string parameter with no description (0% coverage). The description adds significant value by explaining that 'driver' accepts names, codes, or numbers, and that fuzzy matching applies. This is essential for correct usage.

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?

The description explicitly states 'Get lap-by-lap timing data for a specific driver', clearly identifying the verb and resource. It distinguishes from sibling tools like fastest_laps (which aggregates) and tire_stints (which focuses on tire data).

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?

Provides clear guidance on when to use: 'when the user asks about a driver's pace, consistency, lap time progression, or when they were fast/slow.' It does not explicitly state when not to use or mention alternatives, but the context is clear.

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