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Finewisdom 社媒与电商数据接口

item_1688

1688商品详情

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_tokenNo备用鉴权:fw_ 开头的 token(推荐改用 HTTP Header X-FW-Token,二选一)
item_idYes商品ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.1/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about authentication (the _token param hints at it), rate limits, or return shape. For a details-fetch tool with zero annotation coverage, this is a serious gap.

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 description is a single terse phrase, which is short but reflects under-specification rather than effective conciseness. There is no structure to front-load because nothing meaningful is said.

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

Completeness1/5

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

With no annotations, no output schema, and a bare two-word description, an agent lacks everything needed to call this correctly beyond the schema's parameter names. Nothing about scope, auth handling, or result content is conveyed.

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 both item_id and _token are already documented in the schema. The description adds no meaning beyond the schema, which is the baseline 3 when the schema does all the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The phrase '1688商品详情' names the resource (1688 product) and implies a read of its details, which is more than a tautology. However, it offers no differentiation from siblings like company_1688, reviews_1688, img_search_1688, or search_1688, so an agent cannot tell from the text alone why this tool rather than those.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives, nor any prerequisite or exclusion. Usage is only weakly implied by the word '详情' (detail), which the agent must infer.

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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