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SocialDataX TikTok MCP

tiktok_submit_video_speech_text_by_aweme_id

根据 TikTok 视频 aweme_id 提交口播转文字任务;可直接使用视频 post_id,提交后最多等待 240 秒,未完成时返回 job_id 和下一步查询动作。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aweme_idYesTikTok 视频的数字 aweme_id;长数字字符串,原样传入,不要转为数字;对于 content_type=video 的 post_id,可原样作为 aweme_id 输入

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorYes失败或过期时的稳定错误结构;非终态或成功时为 null。
job_idYes任务 ID。
statusYes任务状态。
messageYes面向用户/AI 的状态说明。
platformYes任务所属平台。
source_idYes任务来源 ID。
content_idYes平台内容 ID。
transcriptYes成功时的口播转文字结果;非终态或失败时为 null。
is_terminalYes是否已终态。
next_actionYes非终态时建议的下一步查询动作。
content_metaYes作品上下文信息,便于结合转写内容做口播分析。
content_typeYes内容类型。
next_poll_after_secondsYes建议下次查询前等待的秒数;非终态时可用。

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The description discloses important non-obvious behavior: the call waits up to 240 seconds and returns a job_id plus next-step query action if the job is not complete. This is useful beyond the annotations, though it does not detail success-path behavior or error conditions.

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 compact sentence carries the essential information: input identifier, wait limit, and non-blocking fallback with job_id. No filler or redundant repetition of schema details.

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 one-parameter submit tool with 100% schema coverage and an output schema, the description covers the key operational facts. It could be more complete by naming the polling sibling tiktok_get_video_speech_text_job or the URL submission alternative, but 'next query action' hints at the workflow.

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?

The input schema already fully documents aweme_id, including the requirement to pass it as a string, not convert to number, and the post_id alias. The description restates the post_id reuse without adding extra parameter-level meaning beyond the schema.

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?

The description states a clear action and resource: submit a speech-to-text task for a TikTok video by aweme_id, and notes that a post_id can be reused. It does not explicitly differentiate from the sibling tiktok_submit_video_speech_text_by_url, so some differentiation relies on the tool name.

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

Usage Guidelines4/5

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

The description gives clear context for when to use the tool: when you have a TikTok video aweme_id or a content_type=video post_id. It does not explicitly say when not to use it or name the URL-based alternative, stopping short of full routing guidance.

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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