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lee-s-dev

youtube-research-mcp

by lee-s-dev

collect_research_sources

Search YouTube for videos and collect their transcripts for analysis, with filters for duration, language, and publication date.

Instructions

Search YouTube and collect transcript-ready sources for analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_videosNo
min_duration_secondsNo
max_duration_secondsNo
languagesNo
published_afterNo
published_beforeNo
exclude_shortsNo
min_view_countNo
max_per_channelNo
include_segmentsNo
max_transcript_charsNo
search_orderNorelevance
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 provided; description only says 'collect transcript-ready sources' without detailing quota usage, filtering logic, or what 'transcript-ready' entails.

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

Conciseness2/5

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

Overly concise for a tool with 14 parameters; one sentence is insufficient to convey necessary information.

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?

Missing context on output format, how sources are collected, and how it differs from similar tools. Incomplete for a complex tool.

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 the description does not explain any of the 14 parameters beyond the implicit 'query'.

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 states a specific verb (search, collect) and resource (YouTube, transcript-ready sources), and distinguishes from siblings like search_videos and collect_research_discussions.

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 on when to use this tool versus alternatives (e.g., search_videos, get_transcript). No when-not or context 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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