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get_product

Read-onlyIdempotent

Everything the shop says about one product: the label's amounts, how to take it, price, pictures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYese.g. prime-epa

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds value by explaining what specific product information is returned, which goes beyond bare read-only hints and helps the agent understand the tool's scope.

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, front-loaded sentence that conveys the tool's purpose and output contents without restating the name or adding filler. Every part contributes to understanding the tool.

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

Completeness4/5

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

The tool has a simple one-parameter schema and rich annotations, and the description gives enough behavioral and content context for an agent to select and invoke it appropriately. There is no output schema, but the described fields ('label amounts', 'how to take', 'price', 'pictures') provide a reasonable preview of the response.

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 schema covers 100% of the parameter description, including an example value, so the description does not need to add much. It does loosely connect slug to retrieving a single product, but adds no additional semantic detail beyond the schema.

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

Purpose5/5

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

The description clearly identifies the tool as retrieving detailed store-provided information about a single product, explicitly naming key content areas such as amounts, usage directions, price, and images. It also distinguishes it from siblings like list_products and search_products by emphasizing 'one product.'

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

Usage Guidelines4/5

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

The description makes it clear this is for getting full product details for one item, which implicitly signals when a user should choose it over listing or searching. It does not explicitly name alternatives or state when not to use it, but the single-product framing is sufficient context for selection.

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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