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BACH-AI-Tools

Usage And Billing MCP Server

get_product_item

Retrieve specific product details from the Usage and Billing MCP Server by providing the product ID to access billing information and manage product data.

Instructions

Get product item

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesExample value:
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. However, it only states 'Get product item' without explaining what 'Get' entails—such as whether it's a read-only operation, requires authentication, has rate limits, or returns specific data formats. This is inadequate 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.

Conciseness2/5

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

The description 'Get product item' is overly concise to the point of under-specification. It consists of three words with no structure or elaboration, failing to provide necessary context. While brief, it doesn't earn its place by adding value, making it inefficient rather than concise.

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 the tool's simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It doesn't explain what a 'product item' is, what data is returned, or how it differs from sibling tools. Without annotations or output schema, the description should compensate more to be complete for agent use.

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?

The input schema has 100% description coverage, with the 'id' parameter documented as 'Example value: ' (though incomplete). The description adds no additional meaning beyond the schema, such as clarifying what the 'id' represents or its format. With high schema coverage, the baseline is 3, as the schema handles parameter documentation adequately.

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

Purpose2/5

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

The description 'Get product item' is a tautology that essentially restates the tool name with minimal elaboration. While it includes a verb ('Get') and resource ('product item'), it lacks specificity about what 'product item' means or how this differs from sibling tools like 'get_product_items' (plural) or 'get_product'. The purpose is vague and doesn't distinguish from alternatives.

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

Usage Guidelines1/5

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, context, or exclusions, nor does it differentiate from sibling tools like 'get_product_items' (which likely retrieves multiple items) or 'get_product' (which might retrieve product metadata). This leaves the agent with no usage direction.

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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