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Suggest YouTube clips

suggest_youtube_clips
Read-only

YouTube to Clips. Pick moments from a captioned public video, with timestamps and the on-screen quote. If status is processing, call this again with the same url. Render one result with render_youtube_clip. Requires an API key. Needs a free StartupHub.ai account.

Input Schema

NameRequiredDescriptionDefault
urlYesYouTube watch, youtu.be, or Shorts URL.
styleNoClip style. Default twitter.
max_clip_secNoOptional cap on clip length, in seconds, up to 90.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful context beyond that: it is an async/processing operation requiring polling, needs an API key, and needs a free StartupHub.ai account. It still does not say if accounts are required for caching or quota limits.

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?

Front-loaded with the verb+resource in the first sentence, followed by concise operational rules. The opening 'YouTube to Clips.' is a slightly awkward fragment and the sentences are a bit choppy, but there is no waste.

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?

There is no output schema, so the description carries the return-value burden, and it does partially describe the output ('timestamps and the on-screen quote') plus the processing status. Given the async nature, more detail on the final result shape would help, but an agent has enough to call it correctly.

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 all three parameters (url, style with enum, max_clip_sec) are already documented in the schema. The description adds no extra syntax, defaults, or constraints beyond what the schema provides, so the baseline 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?

States a specific verb and resource: picking moments from a captioned public video, with timestamps and on-screen quotes. It distinguishes itself from the similar-sounding render_youtube_clip and get_youtube_clip by naming the render sibling explicitly. An agent can tell what this does without opening the schema.

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?

Gives an explicit follow-up rule for async processing ('If status is processing, call this again with the same url') and routes the user to render_youtube_clip for rendering. It doesn't state when NOT to use it versus generate_youtube_article or get_youtube_clip, but the core usage conditions are clear.

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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