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geekbi-temu-research-mcp

by geekbi

temu_keyword_search

Search Temu keywords to find hot sellers, blue ocean words, new trends, and demand growth. Analyze sales, revenue, supply, price, and market stage for product research.

Instructions

搜索 Temu 中文或英文关键词,用于查特定词、热销词、蓝海词、新词、需求增长和品类搜索词机会,分析总销量、总销售额、日周月需求及增长、商品供给、店铺供给、平均价格、市场阶段、关联类目和半托管渗透。未指定站点时使用美国站 48;其他国家先调用站点工具。查特定词优先 keyword,不自行翻译替换用户输入;做品类词挖掘优先 catIds,类目 ID 只能来自用户或类目工具且优先一级、二级;只有明确要求在某品类查特定词时才组合。热销词按 totalSold 降序,蓝海词按 dsr 降序,最近新词按 firstOnSaleTime 降序;近期增长可按 monthSoldRate 或 monthSalesRate 降序并设置最低需求规模。firstOnSaleTime 表示该词下最早商品的上架时间,不是关键词创建时间,也不能单独证明新趋势。蓝海指数不能单独作为进入依据,要结合需求规模、增长、商品数、店铺数和价格带;商品数和店铺数的周期字段是可为负的变化量,增长率使用小数。候选词可继续交给商品工具验证同款竞争、价格、评论和上架时间。分页未完成时标为样本。每次展示关键词都必须把关键词名称绑定返回的 linkUrl,不自行拼接。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it excels. It clarifies the semantics of firstOnSaleTime ('表示该词下最早商品的上架时间,不是关键词创建时间'), warns that blue ocean index alone is insufficient ('不能单独作为进入依据'), explains that product/store count period fields are change amounts that may be negative, and that growth rates are decimals. It also covers pagination fidelity ('分页未完成时标为样本') and output binding requirements. This goes far beyond what the schema describes.

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?

The description is a single dense paragraph of about 300 Chinese characters. Every sentence adds a distinct piece of guidance—use cases, sort conventions, semantic caveats, and output requirements—so there is no filler. It could be improved by splitting into sections or bullet points for readability, but the content is efficient and front-loaded with the primary purpose.

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

Completeness5/5

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

Given the tool's high complexity (dozens of parameters, multiple scenarios, nuanced field semantics), the description is remarkably complete. It covers site defaults, parameter selection heuristics, sorting for each use case, interpretation pitfalls, pagination handling, and linkUrl binding. An output schema exists, so return values need no description; the behavioral notes fill all critical gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it does thoroughly. It explains the purpose of keyword vs catIds, sets siteId default to 48 and defers other sites to the site tool, maps sort values to scenarios (totalSold for hot, dsr for blue ocean, firstOnSaleTime for new, monthSoldRate/monthSalesRate for growth), and clarifies interpretations for dsr, product/store counts, and rate decimals. It also prohibits self-translating user input, adding semantics beyond the schema fields.

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?

The description opens with the specific verb and resource: '搜索 Temu 中文或英文关键词' (search Temu Chinese/English keywords), and enumerates clear use cases (特定词、热销词、蓝海词、新词、需求增长和品类搜索词机会). It differentiates from sibling tools like temu_goods_search by explicitly noting that candidate keywords can be handed off to the product tool for validation. This makes the purpose unambiguous and distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-use guidance: '查特定词优先 keyword' (prioritize keyword for specific terms), '做品类词挖掘优先 catIds' (prioritize catIds for category mining), sorting rules for hot/blue-ocean/new/growth scenarios, site selection defaults, and when to delegate to the site, category, or goods tools. It even states when NOT to combine parameters ('只有明确要求...才组合'). This is exemplary for guiding tool selection and parameter use.

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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