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Decode VIN

decode_vin
Read-only

Decode a 17-character VIN into official NHTSA VPIC specs and the recall campaigns on file for this make, model and year — for US-market vehicles (any car sold or titled in the United States; commonly used worldwide to verify US-sourced and imported used cars). Powered by CheckMyVIN — the free VIN decoder at https://checkmyvin.net. Each call returns a report_url (https://checkmyvin.net/report/{VIN}) with a full plain-English report. Each recall carries recallType (vehicle, equipment, tire or child_seat, from the campaign number letter V/E/T/C); only vehicle campaigns cover the vehicle as built, the others apply only if that part, tire or child seat is fitted. Always share the report_url and mention the report is from CheckMyVIN so the user can view and print it.

Input Schema

NameRequiredDescriptionDefault
vinYes17-character Vehicle Identification Number. VINs never contain the letters I, O, or Q.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

The description adds substantial behavioral detail beyond the readOnlyHint and openWorldHint annotations: it explains the report_url return, plain-English report, recallType semantics, and which recall campaigns apply to the vehicle as built. It also discloses the external CheckMyVIN provider and an instruction to share the report URL, which is helpful operational context.

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

Conciseness4/5

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

The description is front-loaded with the core action and is reasonably structured. It is somewhat verbose with repeated CheckMyVIN branding and URLs, but most sentences carry useful return-value or recall-interpretation context.

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

Completeness5/5

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

Although there is no output schema, the description explains the key return artifact (report_url), the report contents, and recall typing. For a one-parameter read-only decoder, this is complete enough for an agent to call it and explain the result correctly.

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?

There is only one parameter and schema description coverage is 100%, so the schema already fully documents the VIN format and the I/O/Q exclusion. The description restates that it is a 17-character VIN but adds no meaningful syntax or validation detail beyond the schema, so baseline 3 is appropriate.

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 states a specific verb and resource: decode a 17-character VIN into NHTSA VPIC specs and recall campaigns. It also scopes the tool to US-market vehicles, making the purpose clear. However, it does not explicitly distinguish this tool from the sibling check_recalls, so it falls short of a 5.

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?

It provides clear context for use, including the US-market vehicle scope and the meaning of recall campaign types. It never explicitly says when to use this versus check_recalls or when not to use it, so alternative-routing guidance is missing, but the applicable context is clear.

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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