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shopee_scraper

Shopee Southeast Asia E-Commerce Scraper: Trigger: Call this tool when an agent needs product search results and buyer reviews from Southeast Asian Shopee marketplaces. Input: 'keyword' (search string), 'limit' (integer, default 20). Output: item titles, prices, ratings, and sold counts. (x402 M2M Cost: 0.01 USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoInput parameter for limit (e.g. 20)
keywordNoInput parameter for keyword (e.g. "mechanical keyboard")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
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 discloses the x402 M2M cost model (0.01 USDC on Base) and lists returned fields, but omits rate limits, auth/payment prerequisites, pagination, and what happens when no results are found.

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?

Front-loads the identity, then uses labeled Trigger/Input/Output sections with no filler. The parenthetical cost note is slightly awkward but earns its place as decision-relevant 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?

With no output schema, the description does supply the return fields (titles, prices, ratings, sold counts). It is missing some coverage for a scraper — pagination, currency/region control, and how 'buyer reviews' mentioned in the trigger actually surface in the output.

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 real meaning beyond the placeholder schema text ('Input parameter for limit') by stating that limit has a default of 20. Keyword semantics are still only implied by the example.

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: product search results and buyer reviews from Southeast Asian Shopee marketplaces. The regional/marketplace scoping clearly distinguishes it from siblings like amazon_bestsellers, tiktok_scraper, and ecommerce_price_tracker.

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?

The explicit 'Trigger: Call this tool when an agent needs...' sentence gives clear context for use, and the Shopee/SEA scope implicitly rules out other scrapers. However, it never names an alternative tool or states a when-not condition.

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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