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Autodev Vin Decode

autodev_vin_decode
Read-onlyIdempotent

Decode a VIN into a full vehicle spec (year, make, model, trim, engine, body, drivetrain, fuel type). Example: autodev_vin_decode({ vin: "1FTFW3LDXRFB40317", _apiKey: "your-key" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinYes17-character Vehicle Identification Number, e.g. "1FTFW3LDXRFB40317"
_apiKeyYesAuto.dev API key (1,000 free calls/mo at auto.dev)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered without description reinforcement. The description adds that the output is a 'full vehicle spec' with enumerated fields, but does not mention behavior such as external network calls, API key authentication, or invalid VIN handling beyond what the schema already implies.

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?

A single clear sentence stating the tool's purpose and output fields, immediately followed by a concrete usage example. No filler or redundant restatement; every element earns its place.

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?

With no output schema, the description adequately fills the gap by listing the expected return fields. Combined with rich parameter descriptions and safety annotations, the agent has enough to select and invoke the tool correctly. Minor missing details such as error behavior for malformed VINs are not critical for basic selection and invocation.

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%: both 'vin' and '_apiKey' have descriptive text explaining their meaning and format. The description's example reiterates the parameter values but adds no new semantic meaning beyond the schema, so the 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?

States a specific verb ('Decode a VIN') and a concrete resource, listing the exact output fields: year, make, model, trim, engine, body, drivetrain, fuel type. This clearly distinguishes it from sibling tools like autodev_listings or autodev_valuation, which concern listings and pricing rather than vehicle specification decoding.

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

Usage Guidelines3/5

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

The description implies the tool should be used when a full vehicle specification is needed from a VIN, and the example demonstrates invocation. However, it does not explicitly state when not to use it or name alternative tools, leaving the agent to infer usage context from the sibling list.

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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