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SiteCheck Shop & Social

Ecommerce Made In China

ecommerce_made_in_china
Read-only

Made-in-China.com wholesale product search: product name, supplier company, price range (USD, as the page's structured data gives it) and stock state from the public results page. Only the first page (about 20 products). Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
qYesSearch word, 2 to 40 letters (e.g. mug, led lamp)
limitNoHow many products, 1 to 20 (default 5)

Output Schema

NameRequiredDescriptionDefault
qNo
countNo
itemsNo
sourceNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, and the description goes beyond them with genuinely useful operational facts: a hard one-page/~20-result cap, a $0.002 USDC per-successful-call x402 fee across Base/Solana/Arc, and the fact that failures are free. It also caveats that prices are USD as given by the page's structured data. It does not describe rate limits or reliability, so it is strong but not exhaustive.

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?

Two sentences, no padding, and the result fields are front-loaded before the pricing. However, the pricing/payment logistics occupy nearly half the text and are stated in dense parenthetical form, slightly crowding out what an agent most needs (what a call returns and its 20-item ceiling).

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?

A read-only search tool with full schema coverage, existing annotations, and an output schema needs only scope, cost, and result-size disclosure, all of which are present. The remaining gap is matching this tool to the right sibling marketplace, which the description leaves to the site name alone.

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 schema already documents both q and limit with ranges and examples, making the baseline 3. The description adds a little context by confirming the page cap of ~20 that bounds the limit parameter and by framing the output fields, though it adds no syntax detail for q.

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 and resource ('Made-in-China.com wholesale product search') and enumerates what the results contain (product name, supplier, price range, stock state). The site-specific name makes it trivially distinguishable from sibling marketplace tools like ecommerce_1688 or ecommerce_aliexpress.

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 'Only the first page (about 20 products)' note implies a usage boundary and pairs with the limit parameter, but the description never says when to prefer this over the many other ecommerce sources, nor does it name any alternative. Usage must be inferred from the site name.

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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