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Finewisdom 社媒与电商数据接口

ecommerce_item

淘宝/京东商品详情(platform=淘宝 或 京东)

Input Schema

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden, and it discloses almost nothing: no auth requirements, no rate limits, no return shape, no indication of whether the call is a safe read. The only auth hint lives in the schema, not the description.

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?

A single short line with the resource front-loaded and no filler. It is efficient, though its brevity comes partly from omitting needed information rather than from disciplined editing.

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

Completeness2/5

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

For a multi-platform e-commerce lookup with no annotations and no output schema, the description should at minimum clarify how the platform is selected and what the result contains. Neither is present, and the phantom platform parameter leaves the calling contract ambiguous.

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

Parameters2/5

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

Schema coverage is 100%, so 'id' and '_token' are already documented, giving a baseline of 3. But the description advertises a 'platform' selector that does not exist in the schema, which actively misleads the agent about the call signature and drops this below baseline.

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?

States a recognizable verb+resource ('商品详情' / product details) scoped to Taobao/JD, so the general purpose is inferable. However, it does not differentiate itself from near-siblings like item_1688, douyin_product, or ecommerce_shop, and it references a 'platform' selector that the agent must guess at.

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 guidance on when to use this tool versus the many sibling product/item tools, no prerequisites, and no exclusions. The parenthetical '(platform=淘宝 或 京东)' hints at a choice but never states how the caller exercises it.

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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