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get_transcript

Fetches a YouTube video's caption transcript as timestamped lines, enabling quote extraction and exact-moment references.

Instructions

Get the caption transcript of a YouTube video, one [m:ss]-stamped line per caption.

Input Schema

NameRequiredDescriptionDefault
video_url_or_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the output shape ('one [m:ss]-stamped line per caption'), which is useful, but says nothing about the dominant failure mode for this operation (videos with disabled or absent captions), authentication, rate limits, or whether the call is read-only and side-effect free.

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?

A single sentence that front-loads the action and resource, then adds the one detail that matters for consumption. Zero filler.

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?

Return values are covered by the output schema, and there is only one parameter, so the structural surface is small. Still, for a network-backed scraping tool the description omits the practically important caveats: caption availability, video accessibility, and error behavior.

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?

One required parameter with 0% schema description coverage, so the description must compensate. It establishes the domain (YouTube video) but does not explain that 'video_url_or_id' accepts either a full URL or a bare ID, leaving that to inference from the parameter name.

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 and resource: 'Get the caption transcript of a YouTube video'. It also characterizes the returned format at a glance. There are no sibling tools to differentiate from, so a clear single-purpose statement is sufficient, though it never states what happens on failure or what a 'caption' excludes (e.g., auto-generated vs. manual).

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?

No guidance on when to use this versus other approaches, no preconditions (public video? captions must exist?), and no exclusions. There are no sibling tools to route to, but the agent is left to infer that the video must have captions available and be accessible.

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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