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One product in full

product

Everything Dresser House 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

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It discloses the payload contents (price, stock, images, availability) and implicitly reads rather than writes, but says nothing about auth requirements, rate limits, caching/staleness, or what happens for unknown/discontinued identifiers.

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?

One front-loaded sentence with no filler; the field enumeration is the only bulk and it is doing real work because there is no output schema.

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 one-parameter read tool with no annotations and no output schema, the description compensates well by listing the returned fields. Only miss is lookup failure behavior and identity precedence among id/URL/GTIN.

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 coverage is 100% and the single parameter already documents 'product id, product page URL, or GTIN'. The description restates the same three identifier forms without adding format, precedence, or validation detail, so the baseline 3 applies.

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?

States a specific retrieval verb-scope ("Everything ... about one product") and enumerates the resource's contents (description, price, stock, identifiers, attributes, images, availability). It is clearly distinguishable from list-oriented siblings like search/browse/filter by virtue of keying on a single identifier, but it never names those siblings explicitly.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: the accepted keys (id, product URL, GTIN) signal 'use this when you already have a specific product reference,' but there is no explicit when-to-use versus search/filter/browse, and no exclusions or prerequisites.

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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