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mio_video_extract_subtitles

Extract Subtitles — Extract the first embedded text subtitle track from an MKV, MP4, WebM or AVI video up to 500 MB. Save an SRT file; burned-in captions are not extracted.. 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

A3.5/5.0
Behavior4/5

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

With no annotations, the description usefully discloses the 500 MB limit, supported containers, that only the first text track is taken, that output is an SRT, that captions are not OCR'd from burned-in video, and that processing happens in-browser with credit costs and Day Pass exclusion. It omits failure modes and what happens if no subtitle track exists.

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 first two sentences are tight and front-loaded, but roughly two-thirds of the text is pricing/credit boilerplate about workspaces, Day Pass and credit packs that does not help an agent select or invoke this tool and duplicates a dedicated mioffice_pricing_info sibling.

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?

Good coverage of what the tool produces and its input constraints, but for a zero-parameter tool it never explains how the video file reaches the tool (open_tool / browser upload), which is the one thing an agent still needs to know. No output schema exists, and the SRT outcome is stated, so return semantics are adequate.

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, so per the baseline the schema carries nothing that needs explaining. The description correctly implies the input video is supplied through the interactive workspace rather than through arguments.

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+resource ('Extract the first embedded text subtitle track') plus format and size scope, and the clause 'burned-in captions are not extracted' distinguishes it from caption-burning siblings like mio_ai_video_subtitler. It stops short of naming the actual alternative (mio_video_auto_captions) when no embedded track exists.

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

Usage Guidelines3/5

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

Usage is only implied via constraints: video formats, 500 MB cap, first embedded track only, burned-in captions excluded. There is no explicit 'use this when… / use X instead when…' routing against the many sibling subtitle/caption tools.

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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