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 discloses coverage constraints (year range, region, VIN format) which is useful behavioral context. However, it doesn't mention error conditions, rate limits, authentication needs, or what happens with invalid VINs. For a tool with no annotations, this leaves significant behavioral gaps.

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 appropriately sized with three concise sentences. It's front-loaded with the core purpose, followed by coverage and support details. No wasted words, though the structure could be slightly improved by combining related coverage information.

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 single-parameter lookup tool with no output schema, the description provides adequate purpose and input constraints. However, it doesn't describe the return format or structure of the 'basic specifications', which would be helpful given the lack of output schema. The coverage details are good, but more behavioral context would improve completeness.

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 a single parameter 'vin' that has an example value. The description adds context about VIN requirements (17 digits, US/Canada region, 1981-2024 range) which provides semantic meaning beyond the schema's example. This meets the baseline expectation when schema coverage is high.

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 clearly states the tool's purpose: 'provides year, make, model, series, and basic specifications of a motorcycle' from a VIN. It specifies the resource (motorcycle) and output fields, but doesn't explicitly differentiate from sibling tools like 'decode', 'vin_decode', or 'by_vin' which appear to serve similar functions for broader vehicle types.

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 implies usage context through coverage details ('VIN from 1981 to 2024', '17 digit VINs based on US and Canada region'), which helps determine when this tool is applicable. However, it doesn't explicitly state when to use this versus alternatives like 'decode' or 'by_vin', nor does it provide exclusion criteria beyond the implied motorcycle focus.

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