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lee-s-dev

youtube-research-mcp

by lee-s-dev

collect_video_discussion

Retrieve a YouTube video's transcript and comments to enable analysis of the discussion.

Instructions

Collect one video's transcript plus comments for discussion analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
url_or_video_idYes
languagesNo
max_commentsNo
comment_orderNorelevance
include_repliesNo
include_segmentsNo
max_transcript_charsNo
min_comment_lengthNo
min_like_countNo
force_refreshNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must carry the full burden. The description is vague, mentioning only that it collects transcript and comments. It does not disclose any behavioral traits such as caching, rate limits, or side effects, even though the schema includes a force_refresh parameter that implies caching behavior.

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 a single sentence, which is concise and front-loaded with the main purpose. However, given the tool's complexity with 10 parameters, it is too brief and omits necessary detail, making it under-specified rather than appropriately concise.

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?

The tool has 10 parameters and an output schema, but the description only covers the basic function. It does not explain the output, how to use parameters, or provide any context for configuration. This is insufficient for an agent to use the tool effectively.

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%, meaning no parameter descriptions exist in the schema. The description adds no meaning to the 10 parameters; it only states the general action. This fails to compensate for the lack of schema documentation.

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?

The description clearly states the verb 'collect' and the resource 'one video's transcript plus comments', with the purpose 'for discussion analysis'. It is specific and distinguishes from sibling tools like get_transcript and get_video_comments by combining both.

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?

The description does not provide any guidance on when to use this tool versus alternatives like get_transcript or get_video_comments. No prerequisites or context of use are mentioned, leaving the agent without direction for selection.

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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