Skip to main content
Glama

NeuralVerge Business Intelligence

Wayfair Product

run_wayfair_products

Get full Wayfair product details by SKU (or product URL): title, brand, price, list price, discount, rating with per-star breakdown, images, variants, verified status, availability and category. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesSKU or product URL. e.g. W114765796

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully enumerates the returned data (title, brand, price, rating breakdown, variants, availability, category) and discloses cost ('Flat 5 points per successful run'), but says nothing about failure behavior, rate limits, or what happens with an invalid SKU.

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 compact sentences, front-loaded with the verb and resource, followed by the returned fields and cost. No filler or repetition.

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 field enumeration does the work of describing the return payload, and the cost note is a useful extra. It is nearly complete for a single-parameter read tool, missing only guidance on invalid/missing SKU handling.

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 'product' parameter is fully documented in the schema with the same example (W114765796) echoed in the description. The description adds no format or validation detail beyond what the schema already provides, so the baseline 3 applies.

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?

States a specific verb ('Get') and resource ('full Wayfair product details') and names the exact lookup key (SKU or product URL). This cleanly separates it from sibling run_wayfair_products_search, which takes queries rather than identifiers.

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 by the required identifier ('by SKU (or product URL)'), which signals this is the detail-lookup counterpart to the search tool, but no explicit when-to-use/when-not or alternative routing is stated. An agent must infer that it should search first to obtain a SKU.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources