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emit-ia

YouTube Transcript MCP Server

by emit-ia

youtube_get_playlist_transcripts

Extract transcripts from multiple videos in a YouTube playlist for analysis, research, or content repurposing. Process multiple videos concurrently with configurable limits.

Instructions

Get transcripts from multiple videos in a YouTube playlist

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playlistUrlYesYouTube playlist URL
maxVideosNoMaximum number of videos to process
maxConcurrentNoMaximum number of concurrent transcript requests
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal insight. It implies batch processing and concurrency but doesn't detail error handling, rate limits, authentication needs, output format, or whether it's read-only/destructive. This is inadequate for a tool with multiple parameters and no output schema.

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 a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded and wastes no space, making it easy for an agent to parse quickly.

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

Completeness2/5

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

Given the tool's complexity (batch processing with concurrency controls), lack of annotations, and no output schema, the description is insufficient. It doesn't explain what the output contains (e.g., structured transcripts, error details), performance implications, or how it differs from similar tools, leaving significant gaps for agent understanding.

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 the schema fully documents each parameter's purpose and constraints. The description adds no additional semantic context beyond implying batch processing, which aligns with the schema. This meets the baseline for high schema coverage without extra value.

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 action ('Get transcripts') and resource ('from multiple videos in a YouTube playlist'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'youtube_get_transcript' (single video) or 'youtube_batch_transcripts' (general batch), which would require a 5.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention siblings like 'youtube_get_playlist_info' (metadata only) or 'youtube_get_transcript' (single video), nor does it specify prerequisites or exclusions, leaving the agent to infer usage from the name alone.

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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