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Temu Store Source Query

nexscope_temu_store_source_query
Read-only

Filter Temu stores by multiple dimensions (store name/ID, country site, backend category, fully-managed/semi-managed, total/weekly/monthly sales and revenue, rating, reviews, followers, product count, store opening time, etc.). Trigger when users mention Temu store, Temu store analysis, Temu seller, Temu store ranking, Temu semi-managed store, Temu revenue, temu stores, Temu store query. Even if the user does not mention the tool name, trigger this skill whenever they are looking for stores on Temu, filtering store data, or analyzing store performance.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number (starting from 1)
siteIdNoCountry site ID, multiple separated by commas (e.g., 211=US, 76=UK)
sortByNoSort field+direction: order_week_count-0 (weekly sales descending, default), order_count-0, total_revenue-0, rating-0
isLocalNoWhether semi-managed: 0=fully managed, 1=semi-managed
categoryNoBackend category ID, multiple separated by commas
pageSizeNoItems per page, max 100
ratingMaxNoRating range (end)
ratingMinNoRating range (start)
searchKeyNoStore name or ID keyword
orderWeekMaxNoWeekly sales range (end)
orderWeekMinNoWeekly sales range (start)
reviewNumMaxNoReview count range (end)
reviewNumMinNoReview count range (start)
listedTimeEndNoStore opening date range (end)
orderMonthMaxNoMonthly sales range (end)
orderMonthMinNoMonthly sales range (start)
orderTotalMaxNoTotal sales range (end)
orderTotalMinNoTotal sales range (start)
productNumMaxNoProduct count range (end)
productNumMinNoProduct count range (start)
followerNumMaxNoFollower count range (end)
followerNumMinNoFollower count range (start)
weekRevenueMaxNoWeekly revenue range (USD, end)
weekRevenueMinNoWeekly revenue range (USD, start)
listedTimeBeginNoStore opening date range (start)
monthRevenueMaxNoMonthly revenue range (USD, end)
monthRevenueMinNoMonthly revenue range (USD, start)
totalRevenueMaxNoTotal revenue range (USD, end)
totalRevenueMinNoTotal revenue range (USD, start)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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 elsewhere. The description adds nothing about result volume, pagination semantics (pageSize max 100 is only in the schema), or whether an empty filter returns the full store universe — modest incremental value only.

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 useful first sentence is followed by a long, repetitive trigger keyword list ('Temu store, Temu store analysis, Temu seller, Temu store ranking...temu stores, Temu store query') and a final sentence that restates the same trigger condition in prose. Roughly half the text is redundancy, pushing the actionable content out of a front-loaded position.

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 29-parameter, no-required-field query tool with no output schema, the description covers the filterable axes but says nothing about default behavior (what sorting/result set you get with zero filters) or result shape. Given the annotations carry the read-only safety profile, this is adequate but not complete.

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 filter (ranges, sortBy, siteId, isLocal) is documented in the schema itself, so the baseline is 3. The description's dimension list loosely mirrors those parameters but adds no format, unit, or range-combination semantics beyond what the schema already states.

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?

The first sentence states a specific verb and resource (filter Temu stores) and enumerates the filterable dimensions, so the agent knows exactly what the tool returns. It does not, however, distinguish itself from near-neighbours like nexscope_data_eh_temu_store_query or nexscope_geekbi_temu_mall_search, which the description never mentions.

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?

Explicit trigger conditions are given: 'trigger this skill whenever they are looking for stores on Temu, filtering store data, or analyzing store performance', plus a keyword list for fuzzy matching. There are no when-not conditions and no routing to alternative tools (e.g. the Temu product query sibling), so it stops short of full 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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