compare_laps

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

With no annotations provided, the description carries the full burden. It discloses the analysis scope and output categories, which is helpful. However, it does not mention whether the tool is read-only, whether lap data must be from the same session/driver, or what happens if laps are incompatible. A 3 is fair given the lack of annotations and moderate behavioral detail.

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 concise (two sentences), front-loads purpose, and wastes no words. Every sentence serves a function: the first defines what the tool does, the second gives usage guidance.

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 low complexity (2 simple integer parameters, an output schema is present, and no nested objects), the description is complete. With an output schema, the return value explanation is covered, and the description provides sufficient behavioral and usage context. No significant gaps remain.

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?

Schema description coverage is 0%, so the description must compensate. It clarifies that lap_id_a and lap_id_b represent two laps on the same track, adding semantic meaning beyond the integer type. It does not define acceptable value ranges or format, but the purpose is clear enough for an agent to infer 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 uses a specific verb ('compare') and resource ('two laps on the same track'), and lists concrete outputs ('min speed deltas, brake point deltas, and slip balance changes'), making the purpose entirely clear and distinct from sibling tools like lap_summary or list_laps.

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?

The description explicitly states when to use this tool: 'Use to evaluate whether a setup change actually helped.' This provides strong guidance on the intended context and decision-making scenario, making it easy for an agent to select it over alternatives.

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