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. It mentions providing 'information' but doesn't specify if this is a read-only operation, what data formats or structures are returned, potential errors (e.g., invalid VIN handling), or any rate limits or authentication needs. For a tool with no annotation coverage, this is a significant gap in transparency.

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 that front-loads the core purpose. It avoids unnecessary words, making it easy to parse quickly. However, it could be more structured by explicitly separating analytics from basic info, but overall, it's appropriately sized.

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 complexity of vehicle data tools, no annotations, no output schema, and many similar siblings, the description is incomplete. It doesn't explain return values, error conditions, or how it differs from other decode tools. For a tool in a crowded namespace, more context is needed to guide effective use.

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 1 parameter with 100% description coverage, providing an example value. The description adds no additional meaning beyond implying the VIN is used to fetch analytics and vehicle info. Since schema coverage is high, the baseline is 3, as the description doesn't compensate with extra details like VIN format requirements or regional constraints.

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 the tool 'Provides the information of VIN analytics and basic vehicle information including specifications,' which clarifies it returns data for a given VIN. However, it's vague about the exact scope (e.g., what 'analytics' entails) and doesn't distinguish it from many sibling tools like 'by_vin', 'decode_by_vin', or 'vin_decode', which likely have similar purposes. This lack of differentiation reduces clarity.

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. With numerous sibling tools related to VIN decoding (e.g., 'by_vin', 'decode_by_vin', 'vin_decode'), there's no indication of unique features, regional focus (implied by 'eu' in the name but not stated), or specific use cases. This absence leaves agents guessing about tool selection.

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