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SocialDataX YouTube MCP

youtube_search_suggestions

Read-only

获取 YouTube 搜索框联想词,不返回视频或频道详情,不支持分页;可将 text 用于视频搜索,已有明确搜索词时可直接搜索视频;已有视频或频道链接时使用对应详情工具。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes搜索关键词或短语,例如 camping、美食;不要传视频链接、频道链接、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. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuine behavioral context beyond that: no pagination support and no video/channel payloads in the result, which sets correct expectations for a suggestion endpoint.

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?

A single front-loaded sentence covering scope, exclusions, and routing; every clause earns its place and nothing is repeated.

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 no explanation, annotations carry the safety profile, and the description covers exclusions and alternative-tool routing. Nothing an agent needs to call 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?

Only one parameter and schema coverage is 100%, so the schema already fully documents 'keyword' including the negative constraints. The description adds no syntax or format detail beyond what the schema provides, so the baseline of 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 (get YouTube search-box suggestion terms) and explicitly bounds it ('does not return video or channel details, no pagination'). This distinguishes it from sibling tools like youtube_search_videos and the *_by_url detail tools without opening 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?

Gives explicit routing rules: use the returned text for video search, go straight to video search when a concrete query already exists, and use the corresponding detail tool when a video/channel link exists. When-to-use and which-alternative are both spelled out.

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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