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get_transcript

Retrieve the plain-text transcript of any YouTube video by URL or ID. Specify language preferences and optionally include timestamps.

Instructions

Fetch the full transcript of a YouTube video as plain text.

Args:
    video_url_or_id: Full YouTube URL (watch/youtu.be/embed/shorts) or bare 11-char video ID.
    languages: Preferred language codes in priority order, e.g. ["en", "en-GB"]. Defaults to ["en"].
    include_timestamps: If true, prefix each line with a [mm:ss] timestamp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languagesNo
video_url_or_idYes
include_timestampsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavior and does a good job: it explains accepted URL formats, the bare ID alternative, language priority ordering, the default language list, and timestamp formatting. It does not mention edge cases like missing captions or rate limits, but the disclosed behavior covers the core interaction well.

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 compact and well-structured: a one-line purpose, followed by a concise Args block. Every sentence earns its place, and parameter docs are front-loaded with the needed specifics.

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 three-parameter tool with an output schema, the description provides enough to invoke the tool correctly: required argument, optional language behavior, and timestamp control. It could be strengthened with guidance about when to use sibling tools or what happens when no transcript is available, but it is largely complete.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate, and it does thoroughly. Each parameter is explained with concrete examples, accepted formats, defaults, and behavioral effects, adding substantial meaning beyond the bare schema properties.

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 first sentence clearly states the action ('Fetch the full transcript'), the resource ('YouTube video'), and the output form ('as plain text'). The word 'full' differentiates it from sibling tools like search_transcript, which implies partial or query-based retrieval.

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?

Usage is implied by the purpose: use this tool when you need the complete transcript of a YouTube video. However, there is no explicit guidance about when to prefer search_transcript, get_video_metadata, or summarize_chapters instead, nor exclusions such as 'use search_transcript for snippets'.

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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