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MaterialHandling.com

get_product

Full detail for one product by SKU, model number (MPN) or product slug: pricing (incl. volume tiers), stock status, lead time in business days, full manufacturer specifications, images and product page URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYesSKU, MPN or product slug

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden and does so well by enumerating the returned data (pricing incl. volume tiers, stock, lead time in business days, specs, images, URL). It stops short of stating the not-found/error behavior or explicitly confirming this is a non-mutating read.

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 tightly packed sentence, front-loaded with purpose and then the returned fields. No filler and nothing that fails to earn its place.

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 no output schema, the description usefully enumerates the return payload, which is the main thing an agent needs. Minor gaps remain around error/empty-result handling and identifier precedence when a value could match multiple 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 coverage is 100% and the single parameter already documents 'SKU, MPN or product slug'. The description repeats the same identifier set, adding no syntax, format, or normalization details beyond the schema, so 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 verb (retrieval) and resource (one product) plus the accepted identifier forms (SKU, MPN, slug), so the agent knows exactly what it retrieves. It distinguishes itself implicitly from search_products by scoping to 'one product', but never names that sibling to sharpen the contrast.

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 only implied: retrieving full detail for a known identifier. There is no explicit when-to-use/when-not guidance and no pointer to search_products for discovery scenarios, leaving the agent to infer the routing itself.

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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