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plaguedoctor39

youtube-research

youtube_comments

Retrieve top-level comments from a YouTube video, including author, text, likes, and publish date. Results are sorted by relevance.

Instructions

Get top-level comments for a YouTube video.

Returns comments sorted by relevance with: author, text, likes, published_at.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_url_or_idYes
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. States it returns top-level comments sorted by relevance but lacks details on pagination, rate limits, authentication, or accepted input formats (URL vs ID). Provides some but not comprehensive behavioral info.

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 action ('Get top-level comments'), no wasted words. Efficient and to the point.

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 output schema exists, return values are covered, but description lacks parameter details and usage guidelines. For a simple tool with no annotations, it leaves significant gaps in understanding how to invoke it correctly.

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

Parameters1/5

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

Schema description coverage is 0%, and description does not explain parameters at all. No information on what video_url_or_id accepts (URL vs ID) or max_results limits/behavior. Completely fails to add semantic meaning.

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 it gets top-level comments for a YouTube video and lists returned fields (author, text, likes, published_at). Distinguishes from siblings like youtube_transcript and youtube_video_info.

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?

Implies usage for retrieving comments but does not explicitly state when to use this tool vs alternatives or when not to use it. No exclusions or contextual guidance provided.

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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