Skip to main content
Glama
of3y
by of3y

create_mcp_resource_from_transcript_v2

Convert any YouTube video transcript into a persistent MCP resource. Save transcripts as markdown files for zero-token access, enabling efficient reuse in AI workflows.

Instructions

Create a persistent MCP resource from a YouTube video transcript.

This creates a markdown file in resources/transcripts/ that can be accessed with zero token consumption via MCP resources.

Args: video_url: YouTube video URL resource_name: Optional custom name for the resource (auto-generated if empty)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_urlYes
resource_nameNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the side effect of creating a markdown file at a specific path and the benefit of zero token consumption. However, it does not mention whether an existing resource with the same name is overwritten, what permissions are required, or what the tool returns after creation.

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 brief and well-structured: a purpose statement, a benefit/location sentence, and an Args list. Every sentence contributes value, and the information is front-loaded. No fluff or redundancy.

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?

The tool is a mutation with no annotations and no output schema, so the description must cover side effects and results. It states the file creation path and persistence, but it does not explain the return value (e.g., resource URI or path) or error scenarios. For a simple create tool, this is a noticeable gap.

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

Parameters4/5

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

The schema properties have no descriptions (0% coverage), but the description includes an Args section that explains both parameters: video_url is a YouTube video URL, and resource_name is optional with auto-generation if empty. This provides meaning beyond the bare schema, though it could add constraints like URL format or naming rules.

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 tool's function: 'Create a persistent MCP resource from a YouTube video transcript.' It specifies the exact output (a markdown file in resources/transcripts/) and distinguishes it from siblings like get_youtube_transcript by focusing on persistence and zero-token access.

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: when you want a persistent, zero-token-accessible resource from a transcript. It does not explicitly name alternatives or exclusions (e.g., 'if you don't need persistence, use get_youtube_transcript'), but the value proposition is evident.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/of3y/mcp-youtube-transcript'

If you have feedback or need assistance with the MCP directory API, please join our Discord server