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tuitamogamer-gpt

youtube-mcp-server

Get Playlist Details

youtube_get_playlist
Read-onlyIdempotent

Retrieve full details of a YouTube playlist by its ID, including title, description, privacy status, and item count.

Instructions

Fetch full details for a single playlist by its ID.

Args

  • playlistId (string, required): The YouTube playlist ID (e.g. PLrEnWoR732-B...).

  • response_format ("markdown" | "json", default "markdown"): Output format.

Returns JSON shape:

{
  "id": "PL...",
  "title": "My Playlist",
  "description": "...",
  "privacyStatus": "public",
  "itemCount": 12,
  "publishedAt": "2024-01-01T00:00:00Z",
  "defaultLanguage": "en",
  "channelId": "UC...",
  "channelTitle": "My Channel"
}

Examples

  • youtube_get_playlist({ playlistId: "PLrEnWoR732-B..." })

Errors

  • 404 → playlist not found or not accessible.

  • 403 → insufficient permission.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playlistIdYesThe YouTube playlist ID to retrieve.
response_formatNoOutput format: "markdown" (default) or "json".markdown
Behavior5/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds valuable behavioral context: the return JSON shape, error codes (404, 403), and output format flexibility. No contradiction with annotations.

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 well-organized into Args, Returns, Examples, Errors sections. Every sentence is informative and necessary. No extraneous content. The structure aids quick comprehension.

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

Completeness5/5

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

Given the tool has no output schema, the description provides a detailed JSON shape. It covers purpose, parameters (with examples), return values, and error handling. For a simple 2-parameter read tool, this is fully complete.

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?

Schema description coverage is 100% for both parameters. The description adds value beyond the schema by providing an example playlistId format and default value for response_format. However, the schema already adequately describes each parameter.

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 'Fetch full details for a single playlist by its ID.' It uses a specific verb ('Fetch'), a specific resource ('playlist'), and distinguishes from siblings like youtube_list_playlists (which lists multiple playlists) and youtube_get_video (different resource).

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 includes examples, error codes, and output format options, but does not explicitly state when to use this tool vs alternatives like youtube_list_playlists. However, the purpose is clear enough that an agent would infer the appropriate usage scenario.

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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