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SiteCheck Shop & Social

Ecommerce Newegg

ecommerce_newegg
Read-only

Newegg (US) product search: item number, title, model, price, list price, instant rebate, lowest price in 30 days, in-stock flag, rating, review count, seller count, category, best-selling rank, free-shipping flag and link, about 36-42 items per page (page 1 to 20), plus the total result count. From newegg.com's public search page via a residential proxy. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch words, e.g. 'ssd', 'rtx 4070', 'gaming monitor'
pageNoResults page 1 to 20 (default 1)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Beyond readOnlyHint/openWorldHint, the description discloses the data source (newegg.com public search page via residential proxy), the per-page item volume, the 1-20 page ceiling, the billing model ($0.002 USDC per successful call via x402 on Base/Solana/Arc) and that failed calls are not charged. That is exactly the cost/failure context an agent needs before calling a paid tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and cost are front-loaded, but the long comma-separated enumeration of ~15 returned fields duplicates what the existing output schema already provides and dilutes the sentence. Roughly half the text is restating structured data.

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 2-parameter paid search tool with annotations and an output schema, the agent has everything needed: what it searches, result density, pagination bounds, provenance, and cost/charging semantics. Only the sibling-selection guidance is missing.

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%, so both parameters are already documented with examples and the 1-20 range. The description reinforces the page range and adds 'about 36-42 items per page', which gives density context, but adds no query syntax guidance beyond the schema. 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+resource with scope ('Newegg (US) product search') and enumerates the returned fields, page size and total-count behavior. An agent can immediately tell this apart from the dozens of other regional/marketplace ecommerce search siblings.

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 site-specific framing implies when to use it (Newegg US product lookups), but there is no explicit when-to-use/when-not or pointer to alternatives such as ecommerce_amazon_bestsellers or ecommerce_pricerunner for cross-store price comparison. Usage is inferred, 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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