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Agent.ai MCP Server

by OnStartups

process_video

Extract transcripts and analyze YouTube videos using custom prompts to generate summaries or clip ideas.

Instructions

Analyzes YouTube videos into transcripts, analysis, or additional videos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_typeYesSelect the video type to processYouTube URL
video_urlYesProvide the URL of the YouTube video
model_promptYesEnter a prompt to analyze the video, such as 'Generate 10 second clips where product announcements are made'
output_variable_nameNoProvide a variable name to store the video analysis, like 'video_analysis'
Behavior2/5

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

No annotations provided. The description lacks details on side effects, authentication needs, or rate limits. The phrase 'additional videos' is vague and does not clarify whether the tool is read-only or modifies state.

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

Conciseness4/5

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

One sentence with no fluff. It is appropriately sized but could be more structured to improve clarity.

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?

No output schema exists, yet the description does not explain return values or provide details on how the analysis works. The tool's behavior is under-specified.

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% with descriptions for all four parameters. The description does not add extra meaning beyond what the schema already provides, resulting in a baseline score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Analyzes YouTube videos' but groups multiple outputs (transcripts, analysis, additional videos) without distinguishing from siblings like 'get_youtube_transcript'. The verb 'Analyzes' is generic, and the scope is unclear.

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 such as 'get_youtube_transcript' or 'run_youtube_search'. Missing context on prerequisites or exclusions.

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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