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 full burden. It states the API returns 'a wide range of data points' and 'comprehensive and accurate' information with coverage from 1980-present, which gives some context on scope and reliability. However, it lacks details on rate limits, authentication needs, error handling, or response format, which are critical for a tool with no output schema.

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 moderately concise but front-loaded with marketing language ('API is built to return...', 'designed for customers and businesses...') before stating the core function. It could be more direct, and the mention of 'VIN descriptions' is potentially misleading given the tool's name and parameters.

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 no annotations, no output schema, and a tool with 4 parameters for vehicle decoding among many siblings, the description is incomplete. It fails to clarify the exact use case, differentiate from alternatives, or provide sufficient behavioral context (e.g., what 'comprehensive' data includes), leaving gaps for an agent to invoke it correctly.

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%, with clear examples for each parameter (year, make, model, trim). The description adds no specific parameter semantics beyond implying these inputs are used to identify a vehicle, which is already obvious from the parameter names. Baseline score of 3 is appropriate as the schema does the heavy lifting.

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 vaguely states it returns 'vehicle specifications, features, and equipment' for a 'complete picture of any vehicle', but it doesn't specify the exact action (e.g., 'decode' or 'look up') or clearly differentiate from many sibling tools like 'decode_by_vin' or 'ymm'. It mentions 'VIN descriptions' which is confusing since the tool uses YMMT parameters, not VIN.

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?

No guidance on when to use this tool versus alternatives like 'decode_by_vin' or 'ymm' is provided. The description mentions 'customers and businesses in need of complete vehicle specifications', but this is generic and doesn't help an agent choose between the many decoding tools available.

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