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AIsa SERP — Other Engines

Live YouTube Subtitles Advanced

post_dataforseo_serp_youtube_video_subtitles_live
Destructive

Live YouTube Subtitles provides real-time data on subtitles in the video you specify in the request. You will get data from the watching page containing subtitled text, its language, and duration in the video.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already carry the safety profile (readOnlyHint=false, destructiveHint=true, openWorldHint=true, idempotentHint=false), so the hill is lower, but the description adds little beyond restating return content that the output schema already covers. It never reconciles the destructive/open-world flags or notes auth, latency, or cost implications of a live call.

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?

Two tight sentences with the core action front-loaded and no filler. It is under-specified rather than verbose, but structurally efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a live endpoint with compound required constraints (one of language_code/language_name and one of location_code/location_name per array item) and a batched body, the description omits all of these. An output schema exists, so return values need not be explained, but the invocation constraints are absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description only alludes to 'the video you specify,' adding no meaning about the body array, the video_id field, or the required language_code/language_name and location_code/location_name alternatives. Reported schema description coverage is low, so the description should have compensated but does not.

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 verb+resource ('provides real-time data on subtitles in the video you specify'), which is clear on its own. It does not, however, differentiate itself from close siblings such as post_dataforseo_serp_youtube_video_info_live or ..._video_comments_live, so this is a clear-but-undifferentiated 4.

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

Usage Guidelines2/5

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

There is no guidance on when to choose this tool over the sibling video/subtitle variants, and no mention of prerequisites, cost, or the live-vs-task distinction. The phrase 'the video you specify in the request' is the only hint of usage, which is not enough.

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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