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BACH-AI-Tools

Vehicle Database MCP Server

by_plate_and_state

Retrieve oil type and specifications for vehicles using license plate and state information.

Instructions

API provides oil type data and specifications by plate and state

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
plateYesExample value:
stateYesExample value:
Behavior2/5

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 'API provides' but doesn't disclose behavioral traits like rate limits, authentication needs, 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.

Conciseness4/5

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

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core purpose, though it could be more structured (e.g., separating purpose from context).

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

Completeness2/5

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 tool with 2 required parameters, the description is incomplete. It doesn't explain what 'oil type data and specifications' includes, how results are returned, or any limitations, leaving significant gaps 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%, with both parameters ('plate', 'state') documented in the schema. The description adds no parameter-specific semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without extra value.

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

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'provides oil type data and specifications by plate and state', which gives a general purpose (verb: 'provides', resource: 'oil type data and specifications') but is vague about scope and format. It doesn't distinguish from sibling tools like 'us_plate_decode' or 'license_plate_ocr' that might also use plate/state inputs.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, constraints, or comparison to sibling tools (e.g., 'by_vin' for VIN-based lookups vs. plate-based). Usage is implied by the name but not explained.

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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