openf1: Get car data

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

Discloses that the endpoint returns massive amounts of data (multiple samples per second per car), adding behavioral insight beyond the annotations (readOnly, openWorld, idempotent). The warning about data volume is a critical behavioral trait.

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: the first clearly states the purpose, the second provides a crucial warning. Every word contributes; no filler.

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 (high data volume, no output schema), the description adequately covers what data is returned and how to use it safely. Could mention what the response looks like (e.g., array of objects), but the warning compensates.

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?

With 100% schema coverage, the description reinforces the importance of date_gte and date_lte filters, adding context beyond the schema by emphasizing their necessity to limit data volume. This adds value despite the schema already documenting them.

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 the tool gets detailed car telemetry with specific fields (speed, RPM, gear, throttle, brake, DRS). Distinguishes from siblings like openf1_get_laps or openf1_get_drivers by focusing on car 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?

Includes a strong warning about massive data volume and explicitly recommends using date filters to limit the time window. Provides clear context on when to apply filters, though does not mention alternatives or when not to use.

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