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granitebps

YouTube MCP Server

by granitebps

get_video_comments

Retrieve YouTube video comments with replies. Sort by relevance or time to get top or newest comments including author, likes, and date.

Instructions

Get YouTube video comments with replies. Returns comment text, author, likes, and date. Supports sorting by 'relevance' (top comments) or 'time' (newest). Returns error if comments are disabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination. Each page returns up to 20 comment threads. Use hasMore in the response to know if more pages exist.
videoYesYouTube video URL or video ID
sortByNoSort order: 'relevance' (top comments) or 'time' (newest first)relevance
maxResultsNoNumber of comment threads per page (1-20, YouTube returns ~20 per page)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
sortByYes
hasMoreYes
threadsYes
videoIdYes
threadCountYes
totalFetchedYes
Behavior2/5

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

With no annotations, description carries full burden. Covers sorting options and error case (disabled comments), but omits authentication needs, rate limits, or response structure details beyond basic fields. Incomplete for an unaided tool.

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?

Extremely concise: two sentences covering purpose, output, sorting, and error. No filler or redundancy.

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?

Output schema exists, so return structure is not required. However, description lacks guidance on pagination strategy or how to handle multiple pages. Usage context is minimal given four parameters and a pagination mechanism.

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 baseline 3. Description mentions sorting and error but adds little beyond schema descriptions (e.g., schema already says maxResults=20 per page). No new parameter insights.

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?

Clearly states the tool retrieves YouTube video comments with replies, listing returned fields (text, author, likes, date). Distinct from sibling tools like get_video_info, get_video_transcript, or search_youtube.

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?

Description implies use when you want comments, but no explicit when-to-use or when-not-to-use. No mention of alternatives (e.g., use search_youtube for finding videos). Lacks exclusions or prerequisites.

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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