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Thib-ai

yt-playlist-organizer-mcp

by Thib-ai

playlistItems_update

Update a YouTube playlist item's position, note, or video start/end times while preserving unspecified fields. Requires OAuth and uses 50 quota units.

Instructions

Modify a playlist item (e.g. its position). Omitted snippet/contentDetails fields are preserved. Quota cost: 50 units. Requires OAuth access token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe playlist item ID to update. Required.
noteNoMaximum 280 characters. Note associated with the playlist item.
partNoResource properties to override and return. Must include 'snippet'.snippet,contentDetails
endAtNoEnd time in seconds of the video portion to play (contentDetails).
startAtNoStart time in seconds of the video portion to play (contentDetails).
videoIdYesThe video ID of the item. Required.
positionNoThe new 0-based position of the item. Only if the playlist uses manual ordering.
playlistIdYesThe ID of the playlist containing the item. Required.
onBehalfOfContentOwnerNoContent owner to act on behalf of (YouTube partners only).
onBehalfOfContentOwnerChannelNoChannel ID to act on behalf of (YouTube partners only).
Install Server

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does meaningful work: it discloses partial-update behavior ('Omitted snippet/contentDetails fields are preserved'), quota cost (50 units), and OAuth requirement. It does not mention errors or return value, but the core behavioral traits are transparent.

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?

Two sentences, front-loaded with the verb and resource, and every sentence adds distinct value: operation, preservation semantics, quota, and auth. No redundancy or filler.

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?

Despite no output schema and no annotations, the description plus a fully self-documenting schema covers the key invocation needs: what it modifies, partial-update semantics, auth, and quota. It does not describe exact response/error behavior, which is less critical for this update tool.

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 baseline is 3. The description adds only a position example and field-preservation semantics, not per-parameter detail, but the schema already documents all 10 parameters well.

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 operation as "Modify a playlist item" and gives a concrete example (position), which distinguishes it from sibling playListItems_insert/delete/list tools. It does not over-specify but is not tautological.

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

Usage Guidelines3/5

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

The description implies usage when an existing playlist item needs modification, especially repositioning, but it does not explicitly name alternatives or state when to prefer playlistItems_insert/delete or playlists_update. It provides OAuth and quota context but no exclusionary guidance.

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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