vin_decodeDecode a Vehicle Identification Number into make, model, model year, body class, engine and plant country using NHTSA's public vPIC database. Use this when you have a VIN and need the exact vehicle before looking up recalls or bulletins. Costs $0.005 USDC per call via x402 on Base.
| Name | Required | Description | Default |
|---|---|---|---|
| vin | Yes | The VIN, 11-17 characters, e.g. '1HGCM82633A004352'. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It adds valuable context by revealing the external NHTSA vPIC data source, the absence of a stated auth requirement, and the notable cost of $0.005 USDC per call via x402 on Base. It does not describe potential error behavior or return envelope, but for a read-only decode operation the disclosed cost and data source are meaningful behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences with no filler: the first states what the tool does, the second gives usage context, and the third conveys cost/payment mechanism. Each sentence earns its place and the most important action is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter tool with no output schema, the description is largely complete: it specifies the input (VIN), the decoded output fields, the usage context, and the cost. It does not discuss invalid-VIN handling or return format, but those are lower stakes given the tool's simplicity and the provided example.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the single `vin` parameter, including length constraints and an example, so the schema fully documents the parameter. The description adds no new parameter-level information beyond calling it a VIN, 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.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb ('Decode') and resource ('VIN' into make, model, model year, body class, engine, plant country using NHTSA's public vPIC database'), making the tool's function immediately unambiguous. It also positions the tool relative to siblings by saying it is for obtaining the exact vehicle before looking up recalls or bulletins, which distinguishes it from vehicle_recalls and vehicle_tsbs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use the tool: 'Use this when you have a VIN and need the exact vehicle before looking up recalls or bulletins.' It does not spell out when not to use it or list alternative tools by name, but the context clarifies its role relative to recall and bulletin lookups, earning a score just below full.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a clearly distinct resource: fault codes, recalls, service bulletins, and VIN decoding. Even where dtc_lookup and vehicle_tsbs both involve fault codes, their descriptions explicitly separate code meaning from manufacturer repair guidance.
Tool names are consistently lowercase snake_case and readable, but they mix an entity-verb style (dtc_lookup, vin_decode) with a vehicle-prefixed noun style (vehicle_recalls, vehicle_tsbs). This is a minor deviation rather than a confusing inconsistency.
Four tools is well-scoped for a vehicle diagnostics lookup server. Each tool covers a distinct core need, and none feel redundant or unnecessary.
The surface covers a coherent workflow: decode a VIN to identify the vehicle, look up fault code meanings, check official safety recalls, and find technical service bulletins. No obvious dead-end or critical missing operation exists for the stated domain.