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1688 Product Search

nexscope_1688_product_search
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Search and analyze products on the Chinese 1688 wholesale platform (Alibaba domestic B2B market) for sourcing, supplier discovery, and product selection. Trigger when the user mentions 1688 product search, finding suppliers on 1688, wholesale product queries, factory sourcing, dropshipping supplier search, 1688 keyword product selection, wholesale price comparison, filtering by sales volume, any product research on the 1688 platform, 1688 search, 1688 product selection, find suppliers, factory lookup, wholesale pricing, supplier search, domestic sourcing, 1688 products. Even if the user does not explicitly say "1688", if their need involves searching for wholesale products, finding domestic suppliers, or sourcing from the domestic Chinese market, this skill should also be triggered.

Input Schema

NameRequiredDescriptionDefault
cycleNoStatistical period: 7 (last 7 days) or 30 (last 30 days)
keyWordNoSearch keyword (must be written in Simplified Chinese; maximum 50 characters)
endPriceNoWholesale price (end)
goodsUrlNoProduct link URL (mutually exclusive with keyWord)
pageSizeNoResults per page (10-100), default 20
sendTimeNoDelivery time (multi-select, comma-separated): 24, 48, 72
sortTypeNoSort order: desc (descending), asc (ascending). Default desc
endTpYearNoTrustPass years (end)
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)
shiLiTypeNoSeller type (multi-select, comma-separated): superFactory (Super Factory), Power (Power Seller), TrustPass (TrustPass)
sortFieldNoSort field: orderCount7d, saleCount7d, saleVolume7d, orderCount30d, saleCount30d, saleVolume30d, offerCreateTime, price, consignPrice. Default orderCount30d
beginPriceNoWholesale price (start)
productIdsNoProduct IDs, separated by the Chinese enumeration comma (、), max 20
searchTypeNoSearch type: 1 = fuzzy match, 3 = exact match
beginTpYearNoTrustPass years (start)
companyTypeNoCompany type: 0 = no limit, 1 = store, 2 = factory. Default 0
proxyRightsNoDropship rights (multi-select, comma-separated): 4360897 (one-piece dropship with free shipping), 449154 (procure now, pay later)
shopServiceNoSeller services (multi-select, comma-separated): 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 purchase quantity (end)
beginConsignPriceNoDropship price (start)
faceToFaceSupportNoWaybill support (multi-select, comma-separated): 441218 (Taobao), 386434 (Douyin), 422914 (Pinduoduo), 422978 (Xiaohongshu), 386370 (Kuaishou)
beginStartQuantityNoMinimum purchase 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

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true, so the safety profile is covered, but the description adds no behavioral context of its own: no note on rate limits, result freshness, pagination behavior, whether goodsUrl vs keyWord exclusivity is enforced, or data provenance. It does not contradict the annotations, but it contributes nothing beyond them.

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 second half degenerates into a keyword dump that repeats the same phrase list three times ('1688 search, 1688 product selection, find suppliers, factory lookup, wholesale pricing, supplier search, domestic sourcing, 1688 products'). Front-loading is fine, but large portions of the text are redundant filler rather than information.

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?

For a 33-parameter, zero-required search tool with no output schema, the description establishes what the tool is and when to trigger it, which is adequate. It leaves gaps on how to construct a call (which parameters matter most, mutual exclusivity of goodsUrl and keyWord, the Chinese-keyword requirement), and since there is no output schema it says nothing about what results look like.

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% across all 33 parameters, so the schema carries the semantics. The description mentions filtering by sales volume and wholesale price comparison, which loosely maps to the sort/sales-range fields, but it adds no syntax, constraints, or defaults beyond the schema. 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 concrete verb and resource ('Search and analyze products on the Chinese 1688 wholesale platform') and names use cases (sourcing, supplier discovery, product selection). However, it never distinguishes itself from close siblings such as nexscope_1688_product_detail, nexscope_1688_search_by_image, nexscope_data_alibaba1688_image_search, or nexscope_1688_product_billboard, so an agent must infer which 1688 entry point applies.

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?

Extensive when-to-use coverage: it enumerates triggers (keyword search, supplier lookup, price comparison, sales-volume filtering) and explicitly extends to implicit cases ('Even if the user does not explicitly say 1688...'). It offers no when-not guidance and no pointer to the sibling tools that handle image search or product detail, which is the missing half.

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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