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 mentions the tool 'provides a list' but doesn't disclose behavioral traits like whether it's read-only, pagination behavior, error conditions, rate limits, or authentication requirements. For a tool with no annotations, this leaves significant gaps in understanding how it behaves.

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, well-structured sentence that efficiently conveys the core purpose without unnecessary words. It's appropriately sized for a simple lookup tool and front-loads the key 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 simple 2-parameter lookup tool with no output schema and no annotations, the description provides basic purpose but lacks important context about return format, error handling, or behavioral characteristics. It's minimally adequate but has clear gaps given the absence of structured metadata.

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 both parameters (year, make) clearly documented in the schema. The description adds minimal value beyond the schema by mentioning these are filtering parameters, but doesn't provide additional context like format expectations or examples beyond what's already in the schema descriptions.

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 action ('Provides a list') and resource ('models available for vehicle warranty API'), specifying it's filtered by year and make. It distinguishes from generic 'models' tools by mentioning the warranty API context, but doesn't explicitly differentiate from other model-related siblings like 'models_market_value' or 'models_7'.

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 (vehicle warranty API, filtering by year and make) but doesn't explicitly state when to use this tool versus alternatives like 'models_market_value' or other model-listing tools. No guidance on prerequisites or exclusions is provided.

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