cars_vehicle
Get full details for a specific vehicle by VIN. Returns specs, price, mileage, photos, recalls, and dealer info.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| vin | Yes | 17-character Vehicle Identification Number |
Get full details for a specific vehicle by VIN. Returns specs, price, mileage, photos, recalls, and dealer info.
| Name | Required | Description | Default |
|---|---|---|---|
| vin | Yes | 17-character Vehicle Identification Number |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of disclosing behavior. It explicitly lists the types of data returned (specs, price, mileage, photos, recalls, dealer info), giving useful transparency beyond the schema. However, it does not mention edge cases like invalid VINs or missing vehicles.
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 a single, well-structured sentence that front-loads the core purpose and immediately lists key return categories. No wasted words or redundant information.
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?
For a simple one-parameter lookup tool without an output schema, the description provides a good overview of expected results. It covers the core return categories, though it omits potential error behavior and any prerequisites like VIN validity.
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?
The schema fully documents the single parameter 'vin' with a description ('17-character Vehicle Identification Number'), so the description adds little beyond confirming the lookup is by VIN. Since schema coverage is 100%, the baseline of 3 is appropriate.
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 uses a specific verb ('Get') with a clear resource ('full details for a specific vehicle by VIN') and enumerates the return content. This clearly distinguishes it from sibling tools like cars_search or cars_history.
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 implies the tool is for retrieving details when a VIN is known, but it does not explicitly state when to use it versus alternatives such as cars_search for finding vehicles or cars_history for historical data. No exclusions or alternatives are named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target distinct resources (dealer inventory, vehicle search, session actions), but cars_session_message and cars_session_reply have overlapping purposes as both involve posting messages. The session tools are otherwise clearly differentiated by their action verbs.
All tools share the 'cars_' prefix and use snake_case, but the verb-noun pattern is inconsistent: some are action-first (cars_search, cars_session_create) while others are noun-only (cars_vehicle, cars_dealers, cars_history). Session tools follow a consistent 'session_<verb>' structure, but the broader set mixes conventions.
With 19 tools, the set is on the heavy end, falling in the 16-25 range that feels borderline. The count is justified by the comprehensive session workflow, but it approaches the threshold where tool selection becomes cumbersome.
The core journey of searching, inspecting, and tracking vehicles through sessions is well covered, including dealer communication and trade-in. However, there are notable gaps: no way to remove a vehicle from a session or update general buyer profile details (payment method, timeline) after initial creation.