openf1_car_data

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

No annotations provided, so description covers behavior: frequency, fields, high volume, return format. Implies read-only but doesn't explicitly state.

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?

Two sentences plus a return example, packed with essential info, front-loaded with purpose.

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?

Covers key usage aspects: frequency, fields, filtering, data volume. Missing pagination or error handling, but sufficient for this tool.

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 has 0% parameter descriptions; description partially compensates by noting required parameters and high volume, but does not explain meeting_key meaning.

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?

Clearly states it returns car telemetry data at ~3.7 Hz, listing specific fields. Distinguishes from sibling openf1 tools by focusing on telemetry.

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?

Explicitly advises to always pass session_key and driver_number due to high volume, and suggests using date operators for windowing. Does not provide when-not-to-use exclusions.

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