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Finewisdom 社媒与电商数据接口

item_search_1688

Read-onlyIdempotent

按关键词搜索1688商品。返回商品列表,含商品ID、标题、价格、销量与店铺信息。做选品、比价或竞品盘点时用,拿到的ID可继续调详情与评论接口。单价¥0.2/次,仅成功调用计费,失败或空结果自动退回。

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "keyword": "<keyword>"
    },
    "name": "item_search_1688"
  }
}

Input Schema

NameRequiredDescriptionDefault
pageNo页码(默认 1)
_tokenNo备用鉴权:fw_ 开头的 token。推荐改用 HTTP Header X-FW-Token。
keywordYes关键词

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

The annotations already declare this as a read-only, idempotent, non-destructive, open-world call, and the description adds genuinely new behavioral facts: per-call pricing (¥0.2/次), the billing rule (only successful calls are charged), and the automatic refund behavior on failure or empty results. It also describes the return payload shape in the absence of an output schema.

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

Conciseness5/5

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

Four short sentences, each carrying distinct load: what it does, what it returns, when to use it plus the follow-up path, and the cost model. The core action is front-loaded and there is no filler or repetition of the title.

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?

With no output schema, the description compensates by listing the returned fields, and it adds a cost/billing model an agent cannot get from annotations or schema. Combined with the usage contexts and downstream call routing, nothing needed to invoke this correctly is missing.

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%, so keyword, page, and _token are all self-documented, and the description only restates that searching is keyword-driven. No extra semantics are added for pagination behavior (page limits, page size) or the _token fallback versus the recommended X-FW-Token header.

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 states a specific verb and resource (按关键词搜索1688商品) and immediately enumerates the returned fields (商品ID、标题、价格、销量、店铺信息). It also implicitly separates itself from the sibling lookup tools by noting that the returned IDs feed into the detail and review endpoints.

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?

It gives concrete when-to-use contexts (选品、比价、竞品盘点) and names the follow-up path (详情与评论接口), which orients the agent within the sibling set. It stops short of stating when NOT to use it — e.g. versus the image-based item_search_img_1688 or the cross-platform douyin_product_keyword_search — so the exclusion side of the guidance is missing.

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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