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BACH-AI-Tools

Vehicle Database MCP Server

universal_vin_decode

Decode VIN numbers to retrieve vehicle details including specifications, history, and market data for North American and European vehicles from 1981 to present.

Instructions

Coverage: 1981-Present Support: US/CAD/EU

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinYesExample value:
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only mentions coverage and support regions, failing to disclose any behavioral traits—such as what data is returned, error handling, rate limits, or authentication needs—making it inadequate for a tool with no structured safety hints.

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 concise with a single sentence, but it is not front-loaded with purpose—it leads with coverage details rather than the core function. While efficient in length, the structure could be improved by prioritizing clarity over brevity, as it lacks essential information.

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

Completeness2/5

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

Given the complexity implied by many sibling tools and the lack of annotations and output schema, the description is incomplete. It fails to explain what the tool returns (e.g., decoded vehicle attributes), how it differs from similar tools, or any operational constraints, leaving significant gaps for an agent to understand and use the tool effectively.

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?

The input schema has 100% description coverage, with one parameter 'vin' documented as a string. The description adds no meaning beyond the schema, as it does not explain parameter semantics (e.g., VIN format requirements or validation). However, with high schema coverage and only one parameter, the baseline score of 3 is appropriate, as the schema adequately defines the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Coverage: 1981-Present Support: US/CAD/EU' is vague and tautological—it restates the tool's name 'universal_vin_decode' by implying broad coverage without specifying what the tool actually does (e.g., decode VINs to extract vehicle details). It fails to distinguish this tool from many sibling tools like 'by_vin', 'decode_by_vin', or 'vin_decode', which likely perform similar functions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. With numerous sibling tools (e.g., 'us_decode', 'eu_decode', 'cad_decode_by_vin'), the description offers no explicit or implied context for selection, such as regional specificity or feature differences, leaving the agent without usage direction.

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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