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PPiai

youtube-mcp

by PPiai

get_video_comments

Fetch YouTube video comments using video ID, with adjustable result count and sorting by relevance or time.

Instructions

Get comments for a YouTube video

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_idYesYouTube video ID
max_resultsNoMaximum number of results (1-100)
orderNorelevance
Behavior2/5

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

With no annotations, the description carries full burden but only says 'Get comments'. It fails to disclose behavioral traits like authentication requirements, rate limits, pagination, or whether comments are returned for all videos (public/private).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (one sentence), but it sacrifices informational content. Every word is needed, but the sentence does not cover important aspects.

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

Completeness2/5

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

Given no output schema, the description should clarify return format (e.g., list of comments, fields included). It does not. The tool complexity is moderate (3 params, pagination via max_results), and the description is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67% (video_id and max_results described in schema, but order has no description). The tool description adds no parameter information; for order, the agent must infer meaning from the enum values alone. This is insufficient.

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 tool gets comments for a YouTube video, which is a specific verb+resource combination. It distinguishes from siblings like get_video_details (which likely returns video metadata) and search_videos.

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?

No guidance is provided on when to use this tool versus alternatives, nor are there prerequisites or exclusions. The agent receives no context for decision-making.

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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