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Transcribe video

transcribe_video
Read-onlyIdempotent

Returns the transcription of a YouTube video as SRT and plain text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL or ID of a YouTube video (watch, youtu.be, shorts, live, embed or clip).
formatNoWhat to return: SRT, plain text or both. Default: both.
languageNoTranscription language (ISO code, e.g. "pt", "en"). Empty: the original language of the video.
forceAiTranscriptionNoUses AI-enhanced transcription even when the video has native YouTube captions. Subject to the account plan limits. Default: false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds the return formats (SRT and plain text), which annotations cannot express, but it omits notable behavior like what happens when captions are missing and that forceAiTranscription is plan-limited—though the schema hints at the latter.

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?

A single front-loaded sentence with no wasted words. It is efficiently sized, though its brevity leans toward under-specification rather than complete economy.

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

Completeness3/5

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

With no output schema, the description must convey the return shape; stating SRT and plain text partially does this. However, for a transcription tool subject to plan limits and possible missing captions, it leaves behavioral gaps an agent may need.

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 all four parameters including the format enum, language, and forceAiTranscription limits are fully documented in the schema. The description only echoes the dual-format return and adds no syntax or language/fallback detail beyond the schema, making baseline 3 appropriate.

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?

States a specific verb (Returns the transcription) and resource (a YouTube video) plus the output formats. It implicitly distinguishes it from get_video_info (metadata) but never names any sibling, so differentiation is inferred rather than stated.

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 use this over get_video_info or search_videos, and no mention of prerequisites or alternatives. The agent must infer usage from the name alone.

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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