Skip to main content
Glama

youtube_transcript

Read-onlyIdempotent

Extract captions and transcript from a YouTube video URL. Returns timestamped segments and model-sized chunks with deep-linked citations. Charges 0.0005 XNO in Nano via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesYouTube video URL (watch, youtu.be, embed or shorts format).
languageNoLanguage code for the transcript (default 'en').en

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / language / description
      Added value: +"Language code for the transcript (default 'en')."
    • addedInput schema / properties / url / description
      Added value: +"YouTube video URL (watch, youtu.be, embed or shorts format)."
  2. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive behavior. The description adds valuable behavioral context beyond that by disclosing the cost (0.0005 XNO via x402) and the output shape (timestamped segments, model-sized chunks, deep-linked citations), which are not present in 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?

Two sentences, zero redundancy. The core action is front-loaded, followed by return format and cost. Every sentence contributes useful information.

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

Completeness5/5

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

Given the tool's low complexity, full schema coverage, existing output schema, and annotations, the description covers the essential operational details: function, return style, and cost. Nothing an agent needs to invoke it correctly is missing.

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 description coverage is 100%, so both parameters (url and language) are already fully documented in the schema. The description adds no additional parameter-level meaning; baseline 3 is appropriate.

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?

Description uses a specific verb ('Extract') and resource ('captions and transcript from a YouTube video URL'), making the tool's function immediately clear. It also differentiates from all sibling tools, none of which are transcript-focused.

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

Usage Guidelines3/5

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

The description implies usage for retrieving YouTube transcripts, but provides no explicit when-to-use guidance or mentions of alternatives. It doesn't state when not to use this tool versus other URL/network tools, leaving selection mostly to inference.

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