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Official
by 2s-io
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TypeScript
Remote

vehicle.profile

Decode a VIN to retrieve safety recalls and owner complaints for that vehicle, aiding used-car due diligence and fleet safety checks.

Instructions

Vehicle 360 by VIN — decodes the VIN (make/model/year/trim/engine, NHTSA vPIC) then returns THAT vehicle's open safety recalls and owner complaints, keyed to the decoded make/model/year. Used-car due diligence, fleet safety, insurance.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "vin": "<vin>"
    },
    "name": "vehicle.profile"
  }
}

Input Schema

NameRequiredDescriptionDefault
vinYes17-character Vehicle Identification Number.
modelYearNoOptional — disambiguates older VINs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.77.0
  2. Removedv1.76.0
  3. First observedv1.0.0

TDQS

A3.8/5.0
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. It fails to disclose behavioral traits such as error handling for invalid VINs, rate limits, latency, or whether the operation is read-only. The description only states what the tool does without additional 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 exceptionally concise, consisting of two sentences with zero waste. It is front-loaded with the core purpose, followed by context and use cases.

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?

Given the moderate complexity (decoding VIN + fetching safety data) and full schema coverage, the description is mostly complete. It lacks error handling details but adequately covers the tool's functionality and typical use cases.

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 having descriptions. The description adds use-case context but does not provide additional semantics beyond what the schema already offers. Baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the verb (decodes, returns), the resource (VIN), and the output (safety recalls and owner complaints). It distinguishes itself from sibling tools like vehicle.recalls, vehicle.complaints, and vehicle.vin-decode by combining decoding with safety data retrieval.

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

Usage Guidelines4/5

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

The description provides clear use cases ('Used-car due diligence, fleet safety, insurance'), implying when to use. However, it lacks explicit guidance on when not to use this tool or comparisons with alternatives like vehicle.recalls or vehicle.vin-decode.

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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