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VIN Decode and Recall Check

decode_vin_and_recalls
Read-only

Decode a 17-character VIN (make, model, year, body, engine) and list NHTSA safety recalls for that vehicle. Source: NHTSA vPIC and Recalls APIs. Price: $0.01 USDC per call via x402 (charged only on success).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinYes17-character VIN

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely non-obvious behavioral context: the two upstream sources (NHTSA vPIC and Recalls APIs) and the metered cost model ($0.01 USDC via x402, charged only on success), which materially affects an agent's decision to call it.

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?

Two sentences, front-loaded with the primary action and its return fields, followed by source and cost. No filler and each clause carries distinct information.

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?

For a read-only, single-parameter tool with an explicit output description in prose and no output schema, this is nearly complete. The main residual gap is error behavior for an invalid or non-17-character VIN, which is not mentioned.

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 coverage is 100% on the single parameter and the description only restates the 17-character constraint already in the schema. Baseline 3 applies since the schema does the documenting work; no extra format, validation, or failure semantics are added.

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) plus a second concrete action (list recalls) against a named resource (VIN/vehicle), and enumerates what is returned (make, model, year, body, engine). The 'NHTSA safety recalls for that vehicle' scope clearly separates it from siblings like check_product_recalls or check_motor_carrier_safety.

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?

Usage is implied by the input constraint (needs a 17-character VIN), so an agent can infer the trigger condition. However there is no explicit when-to-use vs when-not guidance and no routing to or away from the recall-related siblings, leaving the agent to infer overlap.

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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