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SocialDataX 知乎 Zhihu MCP

zhihu_submit_video_speech_text_by_zvideo_id

根据知乎独立视频的数字 zvideo_id 提交口播转文字任务;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
zvideo_idYes知乎独立视频 zvideo_id;用户已提供时原样使用,否则可从独立视频详情结果的 content_id 复制;必须是数字字符串。不要传视频链接、回答 ID、文章 ID 或问题 ID。

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

A3.8/5.0
Behavior4/5

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

Annotations only indicate non-readonly, non-idempotent, non-destructive, open-world. The description adds meaningful behavior: submission may wait up to 240 seconds and, if incomplete, returns a job_id plus a follow-up query action. This async/timeout behavior is not visible in the annotations.

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 front-loads the core action and then adds the two key behavioral facts (240s wait, job_id/next step). No filler or repetition.

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 async submission tool with an output schema and sibling get-job tool, the description covers the important operational details: input type, wait limit, and fallback job_id. It is slightly non-specific about the exact next query action/tool name, but the sibling list makes this recoverable.

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 zvideo_id parameter is already well documented with source, numeric-string constraint, and exclusions. The tool description adds no parameter details 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action (submit speech-to-text task) and resource (Zhihu standalone video identified by zvideo_id), plus the async wait behavior. It is clear, but it does not explicitly differentiate from the sibling zhihu_submit_video_speech_text_by_video_url by naming the alternative or stating 'use this when you have a zvideo_id, not a URL'.

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?

The context is implied rather than stated: it is for submitting via zvideo_id, and '未完成时返回 job_id 和下一步查询动作' hints at polling with the get-job sibling. The schema's parameter description warns not to pass video links/answer/article/question IDs, but the main description does not explicitly say when to prefer this tool over the by_video_url sibling or how to proceed beyond a vague 'next query action'.

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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