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mio_video_denoise

Video Denoise — Adjust noise reduction for grainy video footage. Set Denoise in the editor, then compare the saved result with your original.. Video And Audio Studio run — processes in the browser but uses more credits per run than the Document / Image / Scanner workspaces. Welcome credits cover a limited number of runs. Day Pass does not include this workspace. All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral load; it does disclose that processing runs in the browser and consumes more credits per run, which is genuinely useful. But it never clarifies what a call actually does or returns — whether it opens an interactive editor or produces a denoised file — leaving the core behavior ambiguous.

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?

This is not concise: after a reasonable one-sentence purpose statement it appends a long pricing/credits paragraph that reads as cross-tool boilerplate and contains a double-period typo. Roughly two-thirds of the text does not help an agent select or invoke the 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 no annotations, no output schema, and zero parameters, the description is the only source of truth, yet it omits the interaction model (editor launch vs. headless processing) and expected result. The credit-cost context is present but the mechanics an agent needs to invoke correctly are missing.

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

Parameters4/5

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

The schema defines zero parameters, so there is nothing for the description to disambiguate; baseline for a parameterless tool applies. The description appropriately spends no words on parameter semantics.

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

Purpose4/5

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

States a specific verb and resource: 'Adjust noise reduction for grainy video footage,' which is clearly distinct from the audio denoise sibling. However, the follow-up sentence 'Set Denoise in the editor, then compare the saved result with your original' muddies whether the tool performs the denoise or merely opens an editor, and it never names a sibling to differentiate against.

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?

There is no guidance on when to pick this over mio_ai_video_enhancer, mio_audio_denoise, or mio_video_normalize_audio, nor any prerequisites or exclusions for use. The only conditional content is billing (credits, Day Pass exclusion), which is pricing policy, not usage selection guidance.

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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