5-Star Crash Test Safety Ratings

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

The description adds valuable behavioral context beyond annotations, such as data availability from ~2011 for US-market vehicles (NHTSA) and that it also returns complaint/recall/investigation counts. The annotations (readOnlyHint, idempotentHint) are consistent.

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 concise: two sentences that front-load the core purpose and parameters, then add data coverage and extra outputs. Every sentence earns its place without redundancy.

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 moderate complexity (4 parameters, 0 required, output schema present), the description is complete. It covers purpose, input options, return data, data coverage, and limitations. The output schema handles return value details.

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?

Even though the input schema provides 100% coverage with descriptions, the tool description adds meaningful clarity by summarizing the two usage modes (make/model/year or vehicle_id) and the prerequisite for each, enhancing an agent's understanding beyond the schema alone.

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 the tool retrieves NCAP 5-Star crash test safety ratings by make/model/year or vehicle ID, specifying the exact ratings returned (overall, frontal, side, rollover) and additional data (complaints, recalls, investigations). It distinguishes itself from sibling tools like vehicle.safety.complaints and vehicle.safety.recalls by focusing on ratings.

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 explains when to use the tool (when needing crash test ratings) and mentions two valid input modes. However, it does not explicitly state when not to use it or suggest alternatives, though the sibling context provides natural differentiation.

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