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Glama

YouTube Transcript & Search MCP Server

List playlist videos

list_playlist_videos
Read-only

List videos of a playlist in playlist order. Accepts a PL... playlist id or a URL with list=. ids_only=true returns just video ids (up to 500 per page).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoPL... playlist id or URL (required unless paginating)
limitNoPage size. Up to 100, or up to 500 with ids_only
ids_onlyNoReturn video_ids[] instead of full video objects
next_page_tokenNoToken from a previous result

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
videosNo
has_moreNo
playlistNo
video_idsNo
next_page_tokenNo

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already provide readOnlyHint=true, and the description complements this by being a non-mutating list operation. It adds genuinely useful behavioral details: ordering, accepted playlist id forms, the ids_only result mode, and the rough per-page limit. This goes beyond what annotations alone communicate.

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?

Three tight sentences with no filler: the first gives the core purpose and ordering, the second explains accepted id formats, and the third covers the ids_only mode. The most important information is front-loaded.

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 that an output schema exists and all parameters are documented within the input schema, the description covers the key behavior an agent needs before calling. It does not explain pagination flow in the sense of 'pass next_page_token for subsequent pages,' but the schema parameter already supplies that detail.

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 coverage is 100%, so the baseline is 3. The description mostly restates what the input schema already documents (PL... id or URL with list=, ids_only returns ids), and the 'up to 500 per page' detail is also present in the schema's limit parameter. It adds only marginal clarifications.

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 uses a specific verb ('List') and a specific resource ('videos of a playlist') and adds the important semantic 'in playlist order.' This clearly distinguishes it from a generic video tool, though it does not explicitly distinguish it from sibling tools such as search_playlist_videos or list_channel_videos.

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 intended situation is implied: use it when you want a playlist's full set of videos in playlist order rather than a search. However, it never mentions alternatives or says 'for search, use search_playlist_videos,' so the agent must infer when this is the correct choice.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools target a distinct resource and action: search, list, metadata, transcript, job lifecycle, and credits. The get_transcripts_job / get_transcripts_result / get_transcripts_results trio is easy to blur at first glance, but the descriptions clearly differentiate job status, one result, and paged results.

Naming Consistency4/5

The set mostly follows a predictable verb_noun pattern: get_, list_, search_, submit_, cancel_. The main deviation is latest_channel_videos, which uses an adjective instead of a verb, and the result/results pair is mildly confusing, but overall naming is coherent and easy to navigate.

Tool Count5/5

14 tools is well within the sweet spot for a server with this scope. Each tool serves a clear niche: video lookup, metadata, single transcripts, batch jobs, and search are all represented without unnecessary or redundant tools.

Completeness5/5

The server provides full coverage of the transcript and search workflow: search YouTube, list channel/playlist videos, fetch or batch-fetch transcripts, check job progress/credits, and read results. There are no obvious missing operations that would force an agent into a dead end.