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lee-s-dev

youtube-research-mcp

by lee-s-dev

get_video_comments

Fetch top-level YouTube comments for a video, with options to limit count, order by relevance, filter by likes, and include replies. Analyze audience reactions efficiently.

Instructions

Fetch top-level YouTube comments for one video.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
url_or_video_idYes
max_commentsNo
orderNorelevance
include_repliesNo
min_comment_lengthNo
min_like_countNo
force_refreshNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

The description only says 'Fetch', which implies a read operation, but no details on quotas, authentication, rate limits, or caching behavior are provided. Since no annotations exist, the description carries the full burden and fails to disclose these aspects.

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 very concise (one sentence) but lacks essential parameter explanations and usage context. It is just barely adequate but not optimally structured.

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?

With 7 parameters, no parameter descriptions, and an output schema presumed present but not explained, the description is insufficient for the complexity. It fails to provide complete guidance for correct invocation.

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?

The input schema has 0% description coverage, and the tool description adds no meaning to any of the 7 parameters. The agent has no guidance on what parameters like min_comment_length or force_refresh do.

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 action (Fetch) and resource (top-level YouTube comments for one video). It is specific about scope (one video) but does not differentiate from sibling tools like collect_video_discussion.

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. There is no mention of prerequisites, limitations, or when not to use it.

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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