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Agent.ai MCP Server

by OnStartups

get_youtube_transcript

Retrieve the transcript of any YouTube video by providing its URL, enabling text analysis or content review.

Instructions

Fetch the transcript of a specified YouTube video for review or further processing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the YouTube video.
Behavior2/5

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

No annotations are present, and the description does not disclose behavioral traits such as whether transcripts require captions, language support, error handling, or rate limits. The description carries the full burden but provides minimal information beyond basic purpose.

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 concise sentence with no redundant content. Efficiently communicates the tool's purpose without unnecessary words.

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?

For a simple tool with one parameter and no output schema, the description is minimally adequate. However, it could be improved by noting return format, prerequisite conditions (e.g., video must have captions), or typical use cases. Given the lack of annotations, some completeness 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?

The input schema covers the single parameter 'url' with a description, achieving 100% coverage. The description adds no new semantic information about the parameter beyond what the schema already provides, meeting the baseline expectation.

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?

The description clearly states the verb 'Fetch' and the resource 'transcript of a specified YouTube video'. It distinguishes from sibling tools like run_youtube_search (search videos) or get_youtube_channel (channel info). However, it lacks explicit mention that the transcript is text, which is implicit.

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 obtaining video transcripts but does not provide guidance on when to use this tool versus alternatives (e.g., run_youtube_search for finding videos). No when-not-to-use conditions or context for selection are given.

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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