Skip to main content
Glama

SocialDataX X / Twitter MCP

x_get_video_speech_text_job

Read-only

根据用户提供的有效 job_id,或 submit 工具返回的 job_id 查询 X / Twitter 口播转文字任务;每次最多等待 240 秒,不触发重处理,也不要重复提交任务。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes口播转文字任务 ID;用户已提供时直接使用,否则使用 x_submit_video_speech_text_by_post_url 或 x_submit_video_speech_text_by_post_id 返回的 job_id;任务未完成时继续原样传入同一个 job_id,不要重复提交。

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

A4.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, and the description adds behavioral context beyond that: it waits up to 240 seconds per call, does not trigger reprocessing, and warns against duplicate submission. No contradiction with 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 front-loaded sentence that states the purpose first, then the key behavioral constraints (240s wait, no reprocessing, no resubmission). Zero waste and easy to parse.

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?

With one simple parameter, an output schema, and readOnlyHint annotations, the description covers the critical operational details: timeout behavior, reentrancy (same job_id), and resubmission warning. Nothing essential is missing for correct invocation.

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%, so the baseline is 3. The description reinforces that the same job_id should be passed unchanged when the task isn't complete, but this is already largely captured in the schema's parameter description. The description adds marginal value here.

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?

The description states a specific verb (查询/query) with a distinct resource (video speech-to-text task) keyed by job_id. It clearly differentiates itself from the submit siblings (x_submit_video_speech_text_by_post_url / by_post_id) by focusing on querying an existing task rather than creating one.

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?

It tells the agent when to use it — querying a job using a user-provided or submit-returned job_id — and explicitly says not to resubmit the task. It doesn't name alternatives explicitly, but the submit siblings are implied as the source of the job_id, giving clear context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources