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SocialDataX TikTok MCP

tiktok_search_suggestions

Read-only

获取 TikTok 搜索框联想词,不返回作品或用户详情,不支持分页;可将 text 用于作品搜索,已有明确搜索词时可直接搜索作品;已有作品或用户主页链接时使用对应详情工具。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes非空搜索关键词或短语,例如 camping、美食;不要传视频链接、用户链接、ID 或分页令牌。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes搜索建议列表,保持返回顺序;没有匹配建议时为空数组。
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。

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / keyword / description
      Previous value: -"搜索关键词或短语,例如 camping、美食;不要传视频链接、用户链接、ID 或分页令牌。"New value: +"非空搜索关键词或短语,例如 camping、美食;不要传视频链接、用户链接、ID 或分页令牌。"
    • addedInput schema / properties / keyword / pattern
      Added value: +".*\\S.*"
  2. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds genuine behavioral context beyond them: it does not return post or user details and does not support pagination, which sets agent expectations about result shape and result-set size.

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?

Compact and front-loaded: the core purpose leads, followed by scope limits and routing. Dense but no sentence is wasted, though the run-on clause structure could be broken up slightly.

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?

An output schema exists, so return values need not be described, and the description already covers scope, no-pagination, and alternative routing. Nothing an agent needs 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 coverage is 100% and the single keyword parameter is already well documented in the schema (non-empty keyword, no links/IDs/pagination tokens). The description does not add syntax or format detail beyond the schema, so baseline 3 applies.

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?

States a specific verb+resource (获取 TikTok 搜索框联想词) and immediately draws the boundary that it returns neither posts nor users. This distinguishes it from sibling tiktok_search_posts and the detail tools without needing to open any schema.

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?

Explicitly routes the agent: use text for post search, search posts directly when a clear term exists, and use the corresponding detail tools when post/user profile links are already available. Both when-to-use and alternatives are named.

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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