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YouTube Transcript MCP Server

YouTube Transcript MCP Server

List YouTube Transcript Languages

list_youtube_transcript_languages
Read-only

Lists available YouTube caption languages for a video, including language codes, display names, and auto-generated status, so you can choose the right language before fetching a transcript.

Instructions

Lists the caption languages currently exposed by YouTube for a video, including each language code, display name, and whether it is auto-generated. Call this before get_youtube_transcript when the user wants a specific language.

Input Schema

NameRequiredDescriptionDefault
videoIdOrUrlYesThe YouTube video URL or raw 11-character video ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so safety is covered. The description adds value beyond them by disclosing the shape of the result (code, display name, auto-generated flag) and by framing it as what YouTube "currently exposes," signaling that availability is live and may vary per video.

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?

Two sentences, no filler. The purpose and return contents come first, then the sequencing rule against the alternative, which is the correct front-loading order for a discovery tool.

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 read tool with full schema coverage and no output schema, the description covers purpose, return fields, and ordering against the sibling. It omits only the empty-result case (video with no captions), a minor gap at this complexity level.

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%: videoIdOrUrl is already documented in the schema as a URL or raw 11-character ID. The description adds no format, validation, or edge-case detail about that parameter, so the schema does the heavy lifting and the baseline of 3 applies.

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 a specific verb and resource ("Lists the caption languages ... for a video") and enumerates what each entry contains (language code, display name, auto-generated flag). It is clearly differentiated from the sibling transcript tools by naming get_youtube_transcript explicitly.

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 gives an explicit trigger and ordering rule: call this before get_youtube_transcript when the user wants a specific language. It does not state the inverse case (skip this and call get_youtube_transcript directly when no language preference exists), so the routing guidance is clear but not exhaustive.

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