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BACH-AI-Tools

Usage And Billing MCP Server

get_product

Retrieve detailed product information from the Usage and Billing MCP Server by providing a product ID to access billing data and specifications.

Instructions

Get product

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesExample value:
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but fails completely. 'Get product' doesn't indicate whether this is a read-only operation, what authentication might be required, whether it has rate limits, what happens if the product doesn't exist, or what format the response takes. For a retrieval tool with zero annotation coverage, this is completely inadequate.

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?

While 'Get product' is extremely brief, this represents under-specification rather than effective conciseness. The two words don't earn their place by providing meaningful information. A truly concise description would still convey essential context about what's being retrieved and for what purpose, which this completely lacks.

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

Completeness1/5

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

Given that this is a retrieval tool with no annotations and no output schema, the description is completely inadequate. It doesn't explain what a 'product' is in this context, what information is returned, whether there are any constraints or limitations, or how this differs from similar tools. For a tool that presumably returns important business data, this minimal description fails to provide the necessary context.

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 single parameter 'id' documented in the schema. The description adds no parameter information beyond what's already in the structured schema. According to the scoring rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description, which applies here.

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

Purpose1/5

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

The description 'Get product' is a tautology that merely restates the tool name without adding any meaningful context. It doesn't specify what 'product' refers to, what kind of retrieval operation this is, or how it differs from sibling tools like 'get_products' (plural). This provides no value beyond the tool name itself.

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?

The description provides absolutely no guidance about when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or differentiate from sibling tools like 'get_products' (which presumably retrieves multiple products) or 'get_product_item' (which retrieves product items). There's no indication of when this specific single-product retrieval is appropriate.

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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