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get_car_details

Retrieve comprehensive vehicle specifications, features, and pricing details for a specific Zipcar using its vehicle ID.

Instructions

Get detailed information about a specific Zipcar including vehicle type, features, seating, fuel type, and pricing rates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
car_idYesThe Zipcar vehicle ID from search results
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It partially compensates by disclosing what data fields are returned (addressing the lack of an output schema), but it fails to declare whether this is a safe read-only operation, if it requires authentication, or if there are rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that efficiently communicates the tool's purpose and return value. The field enumeration is valuable given the lack of an output schema, though it makes the sentence slightly dense.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-parameter lookup tool with no annotations and no output schema, the description is reasonably complete. It compensates for the missing output schema by listing the specific data fields returned, providing the agent with adequate expectations of the tool's utility.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage for the car_id parameter ('The Zipcar vehicle ID from search results'). The tool description adds no additional parameter context, but the high schema coverage establishes the baseline score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves 'detailed information about a specific Zipcar' and enumerates specific fields returned (vehicle type, features, seating, fuel type, pricing rates). The phrase 'specific Zipcar' distinguishes it from the sibling search_cars tool, though it does not explicitly name the sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like search_cars or reserve_car. It does not mention that this requires a car_id typically obtained from search results (though the parameter schema description does hint at this).

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

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