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

No annotations were provided, so the description fully bears the burden—and it delivers. It discloses the AI Studio run, Modal workers, variable credits, file deletion after processing, audit trail, retention policy links, and pricing structure. This is rich behavioral context beyond basic purpose.

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

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

The description is front-loaded with the purpose and then provides operational details. At 7 sentences, it's somewhat lengthy but each sentence adds meaningful info (credits, data retention, pricing). It earns its length, though it could be tightened.

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

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

Covers purpose, operational implications, data handling, and pricing. Lacks explicit return-value details, but since there is no output schema, the description gives an implied asynchronous task model via the audit link. Overall adequate for a zero-parameter tool.

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

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

The schema has 0 parameters, so the baseline is 4. The description adds useful context about cost factors (model and file size) though it doesn't explicitly clarify how the input video is supplied. Still, it provides enough for an agent to understand the tool's behavior.

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

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

The description clearly states the tool's verb+resource: 'Extract the best short clips from long videos using AI.' This is specific and distinguishes it from sibling tools like mio_ai_video_enhancer or mio_video_trim.

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

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

Provides clear context about when to use: for AI-driven clip extraction, and notes credit restrictions (Day Pass/welcome credits don't cover AI Studio). However, it doesn't explicitly mention alternatives or when not to use it.

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