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will-ness-ai

YouTube Tools MCP Server

by will-ness-ai

get_youtube_transcript

Extract YouTube video transcripts by supplying a video ID or URL. Optionally specify a language code to get the transcript in that language.

Instructions

Extract transcript from a YouTube video

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videoIdYesYouTube video ID or full YouTube URL
languageNoLanguage code for transcript (optional, e.g., "en", "es", "fr")en
Behavior1/5

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

No annotations are provided, so the description must carry behavioral transparency. It does not disclose expected output format, limitations (e.g., language availability, video accessibility), or whether the tool returns plain text, timestamps, or a structured object. The description adds no behavioral details beyond what the tool name implies.

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?

The description is a single, front-loaded sentence with no wasted words. It efficiently communicates the primary purpose, earning a high score for conciseness.

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?

The tool is relatively simple with two parameters and no annotations or output schema, but the description is too sparse to be complete. It does not explain what the transcript output looks like, how language is handled, or any edge cases, leaving meaningful gaps for an agent.

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% (both videoId and language have descriptions), so the schema fully documents parameters. The description adds no extra meaning about parameters, but baseline 3 is appropriate because the schema handles the heavy lifting.

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 uses the specific verb 'Extract' and a clear resource ('transcript from a YouTube video'), which immediately distinguishes it from siblings like search_youtube, fetchExistingVideoSummary, and storeVideoSummary. There is no ambiguity about what the tool does.

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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no examples. It merely states the action without contextualizing scenarios (e.g., when a user needs transcript text vs. a summary).

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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