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mio_video_mute

Remove Audio from Video — Remove a video’s sound in a separate pass and save an MP4. Leave extra editing controls unchanged, then check that the downloaded file is silent.. 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

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full disclosure burden. It does reveal some useful traits — a 'separate pass', MP4 output, credit cost per run, and that Day Pass does not cover this workspace — but it never explains how the source video is supplied, whether the original is preserved, or how long processing takes; the awkward double period and fragmented sentence further muddy the behavioral picture.

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

Conciseness2/5

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

The functional content is front-loaded in two sentences, but roughly two-thirds of the text is pricing boilerplate — welcome credits, Day Pass exclusions, one-time credit packs, a pricing URL — that belongs in a pricing tool (mioffice_pricing_info exists) rather than a video-mute definition. The doubled period and run-on sentence also hurt readability.

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

Completeness3/5

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

With zero parameters, no output schema and no annotations, the description should cover the invocation model and return behavior. It does state the output is an MP4 and advises verifying silence, but never says how the input video is provided, leaving the most basic operational question unanswered.

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 tool takes zero parameters, which sets the baseline at 4. Nothing in the description contradicts or illuminates that empty schema, though the absence of any mention of the implicit input file (presumably supplied by the workspace session) is a minor gap.

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?

The description states a concrete verb and resource — remove a video's sound and save an MP4 — which is far more specific than the bare tool name. It does not, however, differentiate against near neighbors such as mio_ai_vocal_remover or mio_video_to_mp3, so an agent must still infer which stripping tool is the right one.

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 when-to-use guidance: nothing says when to pick mute over vocal removal, audio normalization, or a converter, and no prerequisites or exclusions are given. The closest thing to guidance is a billing note about credits, which is not 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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