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BACH-AI-Tools

Vehicle Database MCP Server

trims_2

Retrieve available vehicle trims by specifying year, make, and model to support vehicle identification and data analysis.

Instructions

Provides a list of trims available for Advanced Decode API by a given year, make, and model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesExample value:
makeYesExample value:
modelYesExample value:
Behavior2/5

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 describes a read-only list operation, which is straightforward, but doesn't disclose behavioral traits like pagination, rate limits, error conditions, or response format. The description is minimal and lacks operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, clearly stating the tool's purpose without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (simple lookup), 100% schema coverage, and no output schema, the description is minimally adequate. However, with no annotations and many sibling tools, it lacks differentiation and operational details that would enhance completeness for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents the three required parameters (year, make, model). The description adds no additional meaning beyond implying these are used to filter trims, matching the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 a list of trims available for Advanced Decode API by a given year, make, and model.' It specifies the verb ('provides a list'), resource ('trims'), and scope ('Advanced Decode API'), but doesn't explicitly differentiate from sibling tools like 'trims', 'trims_3', or 'multiple_trims'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions 'by a given year, make, and model', which implies usage context, but provides no explicit guidance on when to use this tool versus alternatives like 'trims', 'trims_3', or 'multiple_trims'. No exclusions or prerequisites are stated.

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

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