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. It states it's a listing operation, implying read-only behavior, but doesn't disclose any behavioral traits such as pagination, rate limits, authentication needs, or what happens if no year is provided. The description is too minimal to provide adequate transparency for a tool with no annotation coverage.

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 a single, efficient sentence with no wasted words. It's appropriately sized for a simple tool, though it could be more front-loaded with additional context to improve clarity without sacrificing 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 no annotations, no output schema, and a simple input schema, the description is incomplete. It doesn't explain what 'makes' are, how results are returned, or any error conditions. For a tool with minimal structured data, the description should provide more context to be fully helpful.

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 description adds meaning by specifying that listing is 'by year', which aligns with the single parameter 'year' in the schema. Schema description coverage is 100%, so the schema already documents the parameter well. With 0 required parameters, the baseline is high, and the description complements this by clarifying the tool's purpose in relation to the parameter.

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 'List down the makes by year' states a clear verb ('List down') and resource ('makes'), but it's vague about scope and doesn't distinguish from sibling tools like 'makes', 'makes_2', etc. It specifies 'by year' which adds some context, but doesn't clarify what 'makes' refers to (e.g., vehicle makes) or how this differs from similar tools.

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 is provided on when to use this tool versus alternatives like 'makes', 'makes_2', or other sibling tools. The description implies it's for listing makes filtered by year, but doesn't specify prerequisites, exclusions, or when to choose this over other makes-related tools.

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