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yt-skill-mcp-server

yt-skill-mcp-server

fetch_youtube_transcript

Fetch timestamped YouTube transcript segments from a URL or video ID for agent analysis, with optional language selection.

Instructions

Fetch timestamped transcript segments from a YouTube URL or video ID for agent analysis.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "fetch_youtube_transcript"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesYouTube watch URL, youtu.be link, or 11-char ID
langNoCaption language code (default: en)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the entire behavioral burden, and it discloses very little beyond the output shape implied by "timestamped transcript segments." It does not say what happens when captions are unavailable/disabled, whether the video must be public, whether there are length or rate limits, or whether the fetched transcript is paginated or truncated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or redundancy. It is not padded, but its brevity comes at the cost of the behavioral details an unannotated tool needs, which is penalized under other dimensions.

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 simple (2 params, flat schema, no output schema), so a short description is largely defensible, but with zero annotations the definition leaves failure modes, caption-availability assumptions, and any size/rate constraints entirely unexplained.

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 both parameters are already documented with accepted formats (watch URL, youtu.be link, 11-char ID) and the default language. The description's "URL or video ID" merely restates the schema and adds no new meaning about the parameters. Baseline 3 applies.

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 names a specific verb ("Fetch") and a concrete resource ("timestamped transcript segments") along with the accepted source ("a YouTube URL or video ID"). It is unambiguous what the tool returns, though it never explicitly contrasts itself with the only sibling, compile_cursor_skill (which is unrelated, so differentiation is a non-issue).

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 phrase "for agent analysis" vaguely gestures at a use case but gives no when-to-use / when-not-to-use criteria, no mention of the sibling tool as an alternative, and no prerequisites. An agent must infer that this is the tool to call whenever it needs transcript text.

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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