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1688 Product Billboard

nexscope_1688_product_billboard
Read-only

Query 1688 product bestseller billboard data for sourcing discovery and wholesale product research. Trigger when the user mentions 1688 product rankings, 1688 bestseller lists, wholesale hot products, domestic sourcing rankings, dropshipping product selection, 1688 trending products, bulk purchase popular items, supplier product rankings, 1688 billboard, 1688 bestsellers, sourcing rankings, wholesale hot products, trending product rankings, supplier rankings, 1688 trends. Even if the user does not explicitly mention "1688 billboard", if their need involves discovering hot-selling wholesale products or sourcing opportunities on the 1688 platform, this skill should also be triggered.

Input Schema

NameRequiredDescriptionDefault
dateNoQuery time. Weekly chart: pass the Sunday date of that week, e.g. 2025-06-15 (up to 90 days); Monthly chart: pass the first day of the month, e.g. 2025-06-01 (up to one year)
keyWordNoProduct search keyword (must be written in Simplified Chinese; translate it before calling this API). Maximum 50 characters
endPriceNoWholesale price (end)
goodsUrlNoProduct link URL
pageSizeNoNumber of results per page (10-100), default 20
pageTypeNoBillboard type: 2 = weekly, 3 = monthly. Default 3
sendTimeNoDelivery time (multi-select), comma-separated. Options: 24 (24 hours), 48 (48 hours), 72 (72 hours)
sortTypeNoSort order: desc (descending), asc (ascending), default desc
endTpYearNoEnd TrustPass years
offerTypeNoProduct tag: 0 = no limit, 2 = new product, 3 = 1688 Select, 4 = cross-border, 5 = customization supported, 6 = store highlight. Default 0
pageIndexNoPage number (starting from 1), default 1
shiLiTypeNoSeller membership type (multi-select), comma-separated. Options: superFactory (Super Factory), Power (Power Seller), TrustPass (TrustPass member only)
sortFieldNoSort field, default orderCount. Options: orderCount (order count), saleCount (units sold), saleVolume (estimated sales amount), offerCreateTime (listing time), price (wholesale price), consignPrice (dropship price)
beginPriceNoWholesale price (start)
productIdsNoProduct IDs, separated by Chinese comma for multiple, max 20
searchTypeNoProduct keyword search type: 1 = fuzzy match, 3 = exact match. Default 1
beginTpYearNoStart TrustPass years
companyTypeNoCompany type: 0 = no limit, 1 = store, 2 = factory
proxyRightsNoDropship rights (multi-select), comma-separated. Options: 4360897 (one-piece dropship with free shipping), 449154 (procure now, pay later)
shopServiceNoSeller services (multi-select), comma-separated. Options: 4057409 (Safe Buy), 888777 (Deep Verification Report)
endSaleCountNoUnits sold (end)
endOrderCountNoOrder count (end)
endSaleVolumeNoSales amount (end)
beginSaleCountNoUnits sold (start)
beginOrderCountNoOrder count (start)
beginSaleVolumeNoSales amount (start)
endConsignPriceNoDropship price (end)
buyerProtectionsNoBuyer protections, comma-separated: free shipping, 7-day free return, or shipping insurance
endStartQuantityNoMinimum order quantity (end)
beginConsignPriceNoDropship price (start)
faceToFaceSupportNoWaybill support (multi-select), comma-separated. Options: 441218 (Taobao), 386434 (Douyin), 422914 (Pinduoduo), 422978 (Xiaohongshu), 386370 (Kuaishou)
beginStartQuantityNoMinimum order quantity (start)
endOfferCreateTimeNoListing time (end), format: YYYY-MM-DD
beginOfferCreateTimeNoListing time (start), format: YYYY-MM-DD

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. Beyond that the description adds essentially no behavioral context — nothing about pagination, result volume, how weekly/monthly charts differ, or freshness limits — leaving it a bare query description.

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

Conciseness2/5

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

The purpose clause is front-loaded and clear, but the remainder is a bloated trigger-phrase list with visible duplication ('wholesale hot products' and 'sourcing rankings' repeat) and no structural organization. A large fraction of the text does not earn its place.

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

Completeness3/5

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

With 34 optional filter parameters and no output schema, the description should at least characterize what the billboard returns (rank position, sales metrics, time granularity). The complete schema compensates for parameter gaps, but return-shape expectations are entirely unaddressed.

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 every one of the 34 parameters is documented (date/weekly-Sunday vs monthly-first-day semantics, pageType, keyWord must be Simplified Chinese, etc.). The description adds no parameter meaning beyond that, so the baseline 3 applies.

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?

States a specific verb + resource (query 1688 product bestseller billboard data) plus an intended use (sourcing discovery, wholesale research). It implicitly distinguishes itself from nexscope_1688_product_search and nexscope_1688_product_detail by framing itself as a rankings/billboard source. It stops short of naming the sibling alternatives explicitly.

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 long trigger-phrase list gives implied usage context (user mentions 1688 rankings, bestsellers, sourcing), and the closing sentence generalizes to 'discovering hot-selling wholesale products'. However there is no explicit when-not guidance and no routing to the closely-named siblings product_search and product_detail, so an agent must infer which one to pick.

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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