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

No annotations are provided, so the description carries the full transparency burden. It discloses that processing happens in the browser and that credit consumption is higher than other workspaces, but it does not mention output format, required input, side effects, reversibility, or whether the original file is modified. The core transformation behavior is only implied by the tool name and first phrase.

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 first sentence is appropriately front-loaded and concise. However, the remaining sentences about welcome credits, Day Pass, and one-time credit packs are lengthy and tangential to core tool functionality. The description could be condensed to focus on behavior and usage.

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?

With no output schema and no annotations, the description should explain return values, input handling, and prerequisites. It does not mention what the tool returns or how the video is provided. The credit/workspace information is useful but does not complete the invocation contract, leaving the agent without enough detail to correctly execute the 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 input schema has zero properties, so the baseline is 4. There are no parameter descriptions needed, and the description does not add or misrepresent parameter details. The agent is not misled about arguments.

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 opens with 'Remove grain and noise from video footage,' a specific verb+resource statement that clearly identifies the tool's function. The word 'video' distinguishes it from the audio denoise sibling, and the phrase 'grain and noise' differentiates it from general video enhancement tools.

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?

The use case is implied by the purpose statement, but the description does not explicitly say when to use this tool versus alternatives like mio_ai_video_enhancer or mio_audio_denoise. It provides operational context (browser processing, credits) but no when-to-use or when-not-to-use guidance relative to siblings.

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