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SiteCheck Shop & Social

Ecommerce Revzilla

ecommerce_revzilla
Read-only

RevZilla motorcycle gear and parts in a category (e.g. motorcycle-helmets, motorcycle-jackets, motorcycle-tires): product name, brand, price (USD), in-stock flag, rating, review count, badge (top rated, new...), free-shipping flag, image and link; 96 per page (page 1 to 20), plus the category's product count. From revzilla.com's public category pages 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
pageNoResults page 1 to 20 (default 1)
categoryYesCategory slug as in revzilla.com/<slug>, e.g. motorcycle-helmets, motorcycle-jackets, motorcycle-gloves

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnly/openWorld annotations, it discloses page size (96), the 20-page ceiling, that data comes from public category pages via a residential proxy, and the exact cost model: $0.002 USDC per successful call via x402 on Base, Solana or Arc, with failed calls uncharged. That payment/precondition detail is exactly what an agent needs before invoking a paid endpoint.

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

Conciseness4/5

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

Two sentences, front-loaded with the resource and its payload, then pricing and provenance. The long field enumeration is dense but each item is a real output attribute; nothing is filler, though the sentence is heavy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 2-param, read-only list tool with an output schema, it covers source, pagination limits, currency, category-count inclusion, and the full payment/charging model. An agent has everything needed to decide and invoke correctly; return-value structure is rightfully left to the output schema.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds facts absent from the schema: 96 results per page and the 1-20 page cap, plus an extra category slug example (motorcycle-tires) and the USD currency of price. This meaningfully informs parameter choice rather than restating field descriptions.

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?

It names a specific resource (RevZilla motorcycle gear and parts in a category) and enumerates exactly what each record contains (name, brand, price, stock, rating, reviews, badge, shipping, image, link). Against ~50 ecommerce siblings this is unambiguously the RevZilla category-listing tool, not a search or product-detail tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It scopes usage to revzilla.com category pages and gives concrete slug examples plus the valid page range (1-20), which tells the agent how to call it and implicitly that free-text search is not supported. It never states when to prefer a sibling (e.g. a search-oriented tool) or a when-not condition, so it stops short of explicit routing guidance.

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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