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SocialDataX 抖音 Douyin MCP

douyin_get_user_info_by_douyin_id

Read-only

根据用户主页展示的抖音号 douyin_id 获取用户资料。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
douyin_idYes用户主页展示的公开抖音号 douyin_id;不要传昵称、搜索关键词、sec_user_id、用户主页链接或作品链接

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bioYes用户简介;当前不可用时为空字符串
nameYes用户昵称
genderYes性别:male 表示男,female 表示女,unknown 表示未知
pointsYes本次成功调用的积分消耗与调用完成时的账户积分余额。
user_idYes用户 user_id;当前不可用时为空字符串
verifiedYes用户是否为认证账号
douyin_idYes用户主页展示的抖音号;当前不可用时为空字符串
live_infoYes用户直播状态摘要;用户当前未直播时为 null
avatar_urlYes用户头像链接;当前不可用时为 null
ip_locationYesIP 属地;当前不可用时为空字符串
profile_urlYes用户主页链接;当前不可用时为 null
sec_user_idYes用户 sec_user_id;当前不可用时为空字符串
follower_countYes粉丝数;当前不可用时为 null
following_countYes关注数;当前不可用时为 null
verification_labelYes用户认证文案;当前不可用时为空字符串
received_like_countYes用户内容累计收到的点赞数;当前不可用时为 null
posted_content_countYes用户已发布作品数量,包含视频、图文等作品;当前不可用时为 null

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / sec_user_id / description
      Previous value: -"用户 sec_user_id;用户主页和作品工具可直接复用"New value: +"用户 sec_user_id;当前不可用时为空字符串"
  2. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the detail that the ID is the publicly displayed homepage douyin_id, but discloses no further behavioral traits such as rate limits or response characteristics, which is acceptable but not enriching.

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, front-loaded sentence with no wasted words. It captures both the required input and the resource returned, though it is minimal.

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

Completeness4/5

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

For a simple read-only lookup with one required parameter, a thorough schema description, an output schema, and read-only/open-world annotations, the definition is largely complete. It does not explicitly mention the alternative sibling tools, but the agent can infer correct usage from the identifier constraint.

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 the parameter description already explains the meaning of douyin_id and what not to pass. The tool description restates essentially the same information without adding new semantic detail, so baseline 3 applies.

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?

Description clearly states the operation: retrieve user profile data using the homepage-displayed douyin_id. It identifies the exact identifier type, which helps distinguish it from sec_user_id/profile_url sibling tools, though it does not explicitly name those alternatives.

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

Usage Guidelines3/5

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

Usage is implied: use this tool when you have the public douyin_id shown on the user's homepage. However, it does not explicitly state when to prefer this over its sec_user_id or profile_url siblings, leaving the selection guidance mostly to inference.

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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