f1_laps

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

With no annotations, the description only states the basic purpose. It fails to disclose any behavioral traits such as read-only nature, data source freshness, error handling, or required authentication, leaving the agent with minimal context.

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 extremely short (6 words), which is concise but sacrifices necessary detail. It is front-loaded with the action, but the brevity leaves out parameter context, making it less useful overall.

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 three parameters and lack of output schema, the description is incomplete. It does not clarify what data is returned, how parameters relate, or how this tool differs from siblings, leaving the agent underinformed.

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 0% description coverage, and the description does not explain any parameter. The meanings of 'session_key', 'driver_number', and 'lap_number' are left entirely to the agent to infer from names, which is insufficient for correct invocation.

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 clearly states 'Get Formula 1 lap data', using a specific verb and resource. It implicitly distinguishes from sibling tools like f1_car_data or f1_drivers by focusing on 'lap data', though it could be more precise about the type of lap 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?

No guidance is provided on when to use this tool versus other F1 data tools (e.g., f1_sessions, f1_positions). The description lacks context for selection among siblings.

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