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NeuralVerge Business Intelligence

Wayfair Seller

run_wayfair_sellers

Get a Wayfair brand (seller) by id or brand page URL: name, description, logo image, alias and the brand's collections. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sellerYesBrand ID or brand page URL. e.g. 44308

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
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 does disclose the billing behavior ('Flat 5 points per successful run'), which is genuinely useful, but says nothing about auth requirements, error/failure behavior, or rate limits for a tool with zero annotation coverage.

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 short sentences, front-loaded with the retrieval semantics and then the cost note. No filler; every clause carries information.

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 single-record lookup with no output schema, enumerating the returned fields (name, description, logo, alias, collections) and the billing unit makes the definition largely self-sufficient. Only the absence of any failure/permission context keeps it from being fully complete.

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% and there is only one required parameter, so the schema already documents the 'seller' input. The description restates the accepted forms (brand ID vs. page URL) but adds no format or validation detail beyond the schema's own example.

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 states a specific verb and resource ('Get a Wayfair brand (seller)') and enumerates the fields returned, so an agent knows exactly what this retrieves. It does not explicitly contrast itself with the adjacent run_wayfair_products / run_wayfair_products_search siblings, which is the only gap.

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: the 'by id or brand page URL' phrasing tells the agent this is a single-entity lookup, but there is no explicit when-to-use, prerequisite, or alternative (e.g., when to use sellers vs. products search). Adequate but leaves routing to inference.

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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