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One product in full

product

Everything Seating Co publishes about one product — by id, product URL or GTIN: description, price, stock, identifiers, attributes, images, and where it is bought.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesproduct id, product page URL, or GTIN

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose the shape of the response payload as a list of data categories. However, it says nothing about read-only nature, auth requirements, rate limits, or what happens when the product is not found. It is adequate but leaves real behavioral gaps.

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?

One dense sentence, front-loaded with the scope ('one product') before the accepted identifiers and the payload contents. Every clause carries information, though the field enumeration makes it slightly list-heavy.

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?

For a simple single-lookup read tool with no output schema and no annotations, the description compensates well by naming the returned data categories. It stops short of covering not-found behavior or response format, but is complete enough to call the tool correctly with the documented identifier forms.

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 single 'product' parameter is already documented as accepting an id, product page URL, or GTIN. The description repeats those accepted forms without adding format syntax, precedence rules, or examples, so it matches the baseline rather than exceeding it.

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 conveys that this tool retrieves the full published record for a single product, and enumerates the returned fields (description, price, stock, identifiers, attributes, images, purchase locations). It distinguishes itself from siblings like search, browse and filter by scoping to 'one product'. The verb is implied rather than stated ('Everything Seating Co publishes about one product'), which keeps it just short of a 5.

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?

It implies a lookup-by-identifier use case but never states when to choose this over search, filter, or browse, nor any prerequisites or error behavior for unknown products. No alternatives or exclusions are named, so the agent must infer routing from the sibling names alone.

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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