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get_vehicle_details

Retrieve detailed specifications and pricing for a specific Hertz rental vehicle using its ID and optional rate code.

Instructions

Get detailed information and pricing for a specific vehicle from search results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vehicle_idYesVehicle ID from search results
rate_codeNoRate code to get specific pricing
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves 'detailed information and pricing,' but doesn't specify what details are included, whether pricing is dynamic or static, if authentication is required, or any rate limits. For a read operation with zero annotation coverage, this lacks critical behavioral context.

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

Conciseness5/5

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

The description is a single, efficient sentence that front-loads the core purpose ('Get detailed information and pricing'). There is no wasted language or redundancy, making it highly concise and well-structured for quick understanding.

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

Completeness2/5

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

Given the complexity of a tool that retrieves vehicle details and pricing, the description is incomplete. With no annotations and no output schema, it fails to explain what information is returned (e.g., specifications, availability, pricing breakdown) or behavioral aspects like error handling. This leaves significant gaps for an agent to use the tool effectively.

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?

Schema description coverage is 100%, with both parameters ('vehicle_id' and 'rate_code') well-documented in the schema. The description adds minimal value beyond the schema by implying 'vehicle_id' comes from search results and 'rate_code' affects pricing, but doesn't provide additional syntax or format details. This meets the baseline for high schema coverage.

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 verb 'Get' and the resource 'detailed information and pricing for a specific vehicle from search results.' It distinguishes this tool from siblings like 'search_vehicles' (which likely returns multiple vehicles) and 'get_reservation' (which focuses on reservations rather than vehicle details). However, it doesn't explicitly contrast with all siblings, so it falls short of a perfect 5.

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. It doesn't mention prerequisites (e.g., that 'vehicle_id' must come from search results), when not to use it, or how it differs from similar tools like 'get_reservation' or 'search_vehicles.' This leaves the agent to infer usage context, which is inadequate.

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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