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youtube_list_comments

Read-onlyIdempotent

List comment threads on a YouTube video. Pass video_id (e.g. 'dQw4w9WgXcQ') or channel_ref ('youtube:video:'). Returns top-level comments with inline replies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_idYesYouTube videoId — bare 11-char form OR full 'youtube:video:<id>'.
page_tokenNoPagination cursor from a previous call's `next_page_token`.
max_resultsNoPage size, 1-100. Default 25.
in_workspaceNoRun this one call in this workspace id instead of the session's. Nothing is stored; other sessions are not affected.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / in_workspace
      Added value: +{
      +  "description": "Run this one call in this workspace id instead of the session's. Nothing is stored; other sessions are not affected.",
      +  "type": "integer"
      +}
  2. Added
  3. Removed
  4. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare this a read-only, idempotent, non-destructive operation, so the safety profile is covered without the description. The description usefully adds the return shape ('top-level comments with inline replies'), which matters since no output schema exists, but says nothing about pagination limits, auth requirements, or rate behavior.

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?

Two sentences, zero padding, with the core purpose and the return behavior front-loaded. It could be slightly tighter given the identifier formatting is redundant with the schema, but it is well-sized and easy to scan.

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?

For a read-only list tool with full schema coverage and no output schema, the definition is adequate: purpose, identifier format, and return shape are all present. It stops short of completeness because pagination behavior and the total absence of usage context leave an agent to infer how and when to invoke it.

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 all four parameters are already documented in the schema, making 3 the correct baseline. The description's mention of the video_id example and the 'youtube:video:<id>' form only restates what the schema already says, adding no new semantics for page_token, max_results, or in_workspace.

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 opens with a specific verb+resource ('List comment threads on a YouTube video') that is unambiguous and clearly distinct from write-side siblings like youtube_post_comment_reply or youtube_moderate_comment. It does not, however, explicitly contrast itself with the closest read-side siblings such as youtube_video_query or youtube_list_videos, so it stops at clear-but-undifferentiated.

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?

It explains how to format the video identifier but gives no when-to-use guidance, no conditions, and no routing to alternatives (e.g., youtube_video_query for metadata vs this tool for comments). An agent gets no help deciding which sibling to reach for.

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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