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NomiDevx

YouTube MCP Server

by NomiDevx

get_video_metadata

Retrieve comprehensive YouTube video metadata from a URL or video ID, including title, description, channel, duration, engagement counts, tags, category, and thumbnails. Get the details you need for analysis or display.

Instructions

Get detailed metadata for a YouTube video: title, description, channel, duration, view/like/comment counts, tags, category, thumbnails, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesYouTube video URL or video ID
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It explains that the tool returns metadata and lists what is included, which is useful, but it does not mention authentication requirements, rate limits, error behavior, or URL handling edge cases.

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 a single, information-dense sentence that leads with the action and resource, then lists the returned metadata fields. There is no redundant or filler content.

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

Completeness4/5

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

For a simple one-parameter metadata lookup, the description covers the essential return-value information well, especially since no output schema exists. It could be more complete by noting possible failure modes, but nothing critical is missing for basic invocation.

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 coverage is 100% and the single parameter is already described as 'YouTube video URL or video ID'. The tool description adds no additional parameter-level meaning, so it stays at the baseline for high schema coverage.

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 uses a specific verb ('Get'), names the resource ('metadata for a YouTube video'), and enumerates the concrete fields returned. This clearly distinguishes it from sibling tools focused on transcripts, comments, channels, or search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description makes the use case clear: retrieve comprehensive video metadata. It does not explicitly name alternatives or when not to use it, but the detailed field list communicates the intended purpose well enough to route an agent appropriately.

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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