Skip to main content
Glama
will-ness-ai

YouTube Tools MCP Server

by will-ness-ai

search_youtube

Search YouTube for videos by query, with filters for sort order, duration, definition, and publication date to refine results.

Instructions

Search for YouTube videos using the YouTube Data API v3

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderNoOrder of results (relevance, date, rating, viewCount, title)relevance
queryYesSearch query for YouTube videos
maxResultsNoMaximum number of results to return (1-50, default: 10)
videoDurationNoFilter by video durationany
publishedAfterNoReturn videos published after this date (RFC 3339 format, e.g., '2023-01-01T00:00:00Z')
publishedBeforeNoReturn videos published before this date (RFC 3339 format, e.g., '2024-01-01T00:00:00Z')
videoDefinitionNoFilter by video definitionany
Behavior2/5

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

No annotations are provided, so the description must disclose whether this operation is read-only, requires authentication, has rate limits, or returns certain data. It only mentions the API name, giving no behavioral transparency beyond what is obvious from the tool name.

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?

A single, direct sentence that states the tool's purpose without waste. It is front-loaded and appropriately concise for a simple search tool.

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 seven parameters, no annotations, and no output schema, the description does not explain return values, result format, or operational constraints. It provides no context about pagination, sorting defaults, or how results relate to sibling tools, making it insufficiently complete.

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?

All seven parameters are documented in the schema with descriptions, including enums and defaults. The description adds no parameter-specific information beyond the schema, so the baseline of 3 applies.

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 a specific action (search) on a specific resource (YouTube videos) and names the underlying API. This distinguishes it from sibling tools that handle transcripts and summaries.

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 provides no guidance on when to use this tool versus alternatives like get_youtube_transcript or storeVideoSummary. There are no exclusions or contextual hints beyond the basic search function.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/will-ness-ai/youtube-tools-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server