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anirudhyadavMS

YouTube MCP Server

get_channel_videos

Retrieve and sort videos from any YouTube channel by date, view count, or title. Specify a channel ID to get video metadata for analysis or content discovery.

Instructions

List videos from a specific YouTube channel. Returns video metadata sorted by date, view count, or title.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelIdYesYouTube channel ID
maxResultsNoNumber of videos to return (default 25, max 50)
orderNoSort order for videos (default: date)date
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions sorting and returns video metadata, but does not disclose key behavioral traits such as pagination, rate limits, authentication needs, or what happens with invalid channel IDs. For a read operation with no annotation coverage, this leaves significant gaps in understanding the tool's behavior.

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?

The description is concise and front-loaded, consisting of two sentences that directly state the tool's function and key features (sorting). There is no wasted text, making it efficient and easy to parse.

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

Completeness3/5

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

Given the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is somewhat complete but lacks details on output format, error handling, and behavioral constraints. It covers basic functionality but does not fully compensate for the absence of annotations and output schema, leaving room for improvement.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents all parameters. The description adds minimal value beyond the schema by implying sorting options, but does not provide additional semantics like examples or edge cases. This meets the baseline for high schema coverage.

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's purpose: 'List videos from a specific YouTube channel.' It specifies the resource (YouTube channel videos) and verb (list), but does not explicitly differentiate it from sibling tools like 'get_playlist_videos' or 'search_youtube', which also retrieve videos. This makes it clear but not fully distinctive.

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?

The description implies usage by mentioning sorting options, but does not explicitly state when to use this tool versus alternatives like 'get_playlist_videos' for playlist-specific videos or 'search_youtube' for broader searches. It provides some context but lacks clear guidance on exclusions or prerequisites.

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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