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ScorpTech x402 Tools

Vin Decode

vin_decode
Read-onlyIdempotent

Decode a 17-character Vehicle Identification Number: offline structure check (allowed characters, ISO 3779 check digit, region and WMI, model-year code) plus NHTSA vPIC decoding (make, model, model year, trim, body class, vehicle type, doors, drive type, engine cylinders/displacement/fuel, transmission, manufacturer, plant city/country, GVWR, safety equipment) and optional open NHTSA safety recalls for that make/model/year. Public US government data. Price: $0.01 USDC per successful call (x402, Solana). Same tool over HTTPS: GET https://scorptech.it.com/api/x402/v1/vin-decode

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinYes17-character VIN (I, O and Q are not allowed)
yearNoOptional model year hint (resolves the 30-year cycle of the 10th-character year code)
recallsNoInclude NHTSA recalls for the decoded make/model/year (default false)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Goes well beyond the annotations: discloses that data comes from public US government sources, that the call costs $0.01 USDC per successful call via x402 on Solana, and that the same capability is reachable over HTTPS. Payment requirements and external data provenance are exactly the traits annotations do not capture.

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?

Purpose and the two-phase behavior come first, followed by the return-field inventory and then payment/endpoint details. The parenthetical field list is long but earns its place because there is no output schema; the only cost is a slightly run-on single sentence.

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?

With no output schema, the description must carry return-value semantics, and it enumerates the decoded fields thoroughly (make through safety equipment) plus the optional recalls block. Pricing, data source, and an alternate access path round out what an agent needs before invoking.

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%, so the schema already explains vin, year, and recalls. The description repeats the 17-character constraint and names the recalls option but adds no format, default, or combination guidance beyond the schema. Baseline 3 is correct.

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) and resource (17-character VIN) and enumerates both the offline ISO 3779 structure checks and the NHTSA vPIC decoded fields. No sibling tool does VIN decoding, and the scope is unmistakable from the first line.

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?

It notes that the recalls flag adds NHTSA safety recalls and that a year hint resolves the 30-year cycle, which implies when to set them. But it never says when to use this tool instead of something else, nor any preconditions (e.g., what it does with a malformed VIN). Usage is implied rather than guided.

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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