Vehicle Database MCP Server

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. However, it only mentions coverage and support regions without describing what the tool does (e.g., whether it performs a lookup, returns data, or modifies something), its output format, error handling, or any constraints like rate limits or authentication needs. This leaves critical behavioral traits unspecified.

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 extremely concise with only one sentence, making it front-loaded and free of unnecessary words. Every part ('Coverage: 1981-2026 Support: CAD and US regions') directly contributes information, though it is insufficient in content. There is no wasted text, earning a high score for conciseness.

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?

Given the tool's complexity (4 parameters, no annotations, no output schema), the description is incomplete. It lacks essential details such as the tool's function, output expectations, and usage context. While the schema covers parameters well, the description fails to provide a holistic understanding, making it inadequate for effective tool selection and invocation by an AI agent.

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?

The input schema has 100% description coverage, with each parameter documented (e.g., 'year', 'make', 'model', 'trim'). The description does not add any meaning beyond the schema, such as explaining parameter relationships or valid values. Since schema coverage is high, the baseline score of 3 is appropriate, as the schema adequately handles parameter documentation without additional description input.

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 states 'Coverage: 1981-2026 Support: CAD and US regions' which provides some context about temporal and regional scope, but does not clearly state what the tool actually does. It lacks a specific verb (e.g., 'decode', 'look up', 'retrieve') and does not mention the resource (e.g., 'vehicle information', 'VIN details'). This makes the purpose vague compared to sibling tools like 'decode_by_ymmt' which suggests decoding functionality.

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 provides no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, exclusions, or comparisons to sibling tools (e.g., 'cad_decode_by_vin', 'decode_by_ymmt', 'us_decode'), leaving the agent with no information to make an informed choice among similar decoding tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.