VINdata
Server Details
VIN decoding and European vehicle data for automotive workflows.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.5/5 across 1 of 1 tools scored.
Only one tool exists, so there is no risk of ambiguity or confusion with other tools. Its purpose is clearly defined.
With a single tool, naming consistency is trivially maintained. The verb_noun pattern (decode_vin) is clear and predictable.
One tool is borderline for a well-scoped server, as 1-2 tools feels thin. However, for a focused VIN decoding service, it may be reasonable, but typically more tools (e.g., validation, batch decode) could be expected.
The single decode_vin tool covers the primary operation of retrieving vehicle details from a VIN. Minor gaps like VIN validation or format checking are not essential but could improve completeness.
Available Tools
1 tooldecode_vinAInspect
Decode a Vehicle Identification Number (VIN) to get make, model, year and other vehicle details.
| Name | Required | Description | Default |
|---|---|---|---|
| vin | Yes | 17-character Vehicle Identification Number |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It fails to disclose behavioral traits such as whether it is read-only, error handling for invalid VINs, or any rate limits. The description is minimal and lacks important context for an agent.
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, concise sentence that conveys the essential purpose without any superfluous words. It is appropriately front-loaded and efficient.
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?
With only one parameter and no output schema, the description should provide more detail about the returned vehicle details or potential errors. It lists 'make, model, year and other vehicle details' but is vague. This is adequate but not thoroughly complete.
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?
Schema description coverage is 100% with a clear description of the 'vin' parameter ('17-character Vehicle Identification Number'). The tool description adds no extra meaning beyond what the schema already provides, matching the baseline of 3.
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 specifies the action (decode), the resource (VIN), and the output (make, model, year, and other vehicle details). It uses a specific verb and resource, leaving no ambiguity about what the tool does.
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 does not provide explicit guidance on when to use this tool versus alternatives, but since no siblings exist, this is acceptable. It could benefit from stating prerequisites (e.g., 'Use only with valid 17-character VINs').
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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