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TradeBasis Automotive Appraisal MCP (US)

Decode a VIN

tradebasis_vin_decode
Read-only

Decode a 17-character VIN into vehicle identity: year, make, model, trim, body style, drivetrain, engine, transmission and fuel type. Hybrid, plug-in hybrid and battery-electric vehicles also return their electrification level and, where stated, battery and charging facts. Identification only — this tool returns no valuation, no comparable listings and no market data.

Input Schema

NameRequiredDescriptionDefault
vinYesRequired. The vehicle's 17-character VIN. Lowercase and whitespace are normalized; I, O and Q are rejected, never guessed. Ask the user if missing. Identification only, not valuation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / vin / description
      Previous value: -"Required. The 17-character Vehicle Identification Number to decode."New value: +"Required. The vehicle's 17-character VIN. Lowercase and whitespace are normalized; I, O and Q are rejected, never guessed. Ask the user if missing. Identification only, not valuation."
    • addedInput schema / required
      Added value: +[
      +  "vin"
      +]
  2. Changed2 schema fields changed
    • changedInput schema / properties / vin / description
      Previous value: -"The 17-character Vehicle Identification Number to decode."New value: +"Required. The 17-character Vehicle Identification Number to decode."
    • removedInput schema / required
      Removed value: -[
      -  "vin"
      -]
  3. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false, so the safety profile is covered. The description adds genuine behavioral context beyond that: lowercase/whitespace normalization, hard rejection of I/O/Q characters, and the fact that hybrid/EV VINs return electrification level plus battery and charging facts.

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?

Three sentences, front-loaded with the action and output fields, then the EV-specific behavior, then the scope exclusion. Every sentence carries information and none is redundant.

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?

No output schema exists, and the description compensates by enumerating what fields are returned, including EV-specific returns. With the sole parameter fully documented in the schema and safety covered by annotations, an agent has enough to invoke correctly; only explicit error/failure behavior is left unstated.

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%, and the schema itself already documents normalization, character rejection, the 'ask the user if missing' guidance, and the identification-only scope. The description adds no additional syntax or format detail beyond what the schema provides, so the baseline of 3 applies.

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 and resource ('Decode a 17-character VIN') and enumerates the returned identity fields (year, make, model, trim, engine, etc.), so an agent knows exactly what it produces. It also delineates the boundary against valuation/market data, making it clearly distinct from sibling tools.

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?

Provides a clear scope exclusion: 'Identification only — this tool returns no valuation, no comparable listings and no market data,' which tells the agent what this tool is not for. It does not name an alternative tool to use instead, but the siblings are non-competing (about, pricing, research library), so no explicit routing is strictly needed.

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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