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alex2zimmermann-ux

YouTube Transcript MCP Server

batch_transcripts

Read-only

Retrieve transcripts for multiple YouTube videos simultaneously, processing up to 10 videos in a single batch request to save time.

Instructions

Get transcripts for multiple YouTube videos in a single request (max 10 videos).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesList of YouTube video URLs or IDs to process (maximum 10 videos per batch)
languageNoISO 639-1 language code for all transcripts (e.g. en, de, es, fr)en

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, covering safety and scope. The description adds useful context about the batch limit ('max 10 videos'), which is not in the annotations. However, it does not disclose other behavioral traits like error handling, rate limits, or performance implications for large batches, limiting added value.

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 front-loads the core purpose ('Get transcripts for multiple YouTube videos') and includes essential constraints ('in a single request', 'max 10 videos'). Every word earns its place with no redundancy or wasted information, making it highly concise and well-structured.

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?

Given the tool's moderate complexity (batch processing with limits), rich annotations (safety and scope covered), and existence of an output schema (reducing need to describe return values), the description is mostly complete. It covers the batch nature and limit, but could improve by mentioning prerequisites (e.g., video availability) or error scenarios, leaving minor gaps.

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%, with parameters 'urls' and 'language' well-documented in the schema. The description implies batch processing with a maximum limit, but does not add significant meaning beyond what the schema provides, such as format details for URLs or language code examples. Baseline 3 is appropriate given high schema coverage.

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 description clearly states the specific action ('Get transcripts') and resource ('for multiple YouTube videos'), distinguishing it from sibling tools like get_transcript (single video) and get_transcript_summary (summaries rather than full transcripts). It explicitly mentions the batch capability and maximum limit, making the purpose unambiguous and differentiated.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool ('multiple YouTube videos in a single request') and includes a constraint ('max 10 videos'), which helps differentiate it from get_transcript for single videos. However, it does not explicitly state when NOT to use it or mention alternatives like search_transcript for searching within transcripts, leaving some guidance gaps.

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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