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Crawlora MCP

homedepot_product

Read-only

One Home Depot product's full detail: name, description, brand, model, store SKU, GTIN, price, images, aggregate rating and review count, and the featured customer reviews embedded on the product page. id is the numeric product/internet id from a Home Depot product page's /p/{slug}/{id} URL, e.g. 320326875.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description's added behavioral content is a list of returned fields, which the output schema already documents, so incremental disclosure beyond structured data is modest.

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?

Two sentences, zero filler. Purpose and payload come first, then the parameter format with an example, which is the right front-loading order.

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?

With an output schema present and annotations covering safety, the description only needs to nail purpose and the input, which it does well. It lacks only explicit routing guidance against the search/questions siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the full burden — and it does: it defines id as the numeric product/internet id, shows the exact URL path pattern /p/{slug}/{id}, and gives a concrete example (320326875). An agent can extract the correct value without guessing.

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 verb and resource — retrieving one Home Depot product's full detail — and enumerates the payload (name, brand, model, SKU, GTIN, price, images, rating, reviews). This distinguishes it from the search/list siblings by scope ('one product'), though no sibling is named 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?

The id-format hint ('from a product page's /p/{slug}/{id} URL') implies where to get the identifier, but there is no explicit when-to-use or when-not-to-use guidance versus homedepot_search or homedepot_product_questions. Usage is inferable but not stated.

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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