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mio_ai_silence_remover

AI Silence Remover — Cut pauses from a video or audio recording, with controls for how much space to leave around speech.. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). 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
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden and discloses useful traits: AI worker dispatch, variable credit cost, Day Pass exclusion, file deletion after processing, auditability, and shared credit-pack behavior. It does not cover authentication or rate limits, but the operational and billing disclosures are substantial.

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 tool-purpose sentence is front-loaded and efficient, but it is followed by a long block of credit, pricing, and retention boilerplate that does not help an agent select or invoke the tool. Much of the paragraph repeats pricing-policy information rather than tool-specific behavior.

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?

The description covers billing and retention but omits how a file is actually supplied or processed, especially since the schema has no parameters. For an AI media-processing tool with no output schema and no annotations, that leaves key invocation context missing.

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

Parameters2/5

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

The schema has zero parameters, which would normally set a baseline of 4, but the description claims 'controls for how much space to leave around speech' while the input schema exposes no such controls. That creates a misleading expectation about configurability, so it falls below the zero-parameter baseline.

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 first sentence gives a specific verb and resource: 'Cut pauses from a video or audio recording.' It clearly distinguishes the tool from generic audio enhancers or denoisers, though it does not explicitly name which sibling to use instead. The appended billing/policy text does not obscure the core purpose.

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?

The description states what the tool does but gives no explicit when-to-use guidance or alternatives among the many audio/video siblings. An agent can infer it is for silence removal, but there are no exclusions or routing conditions.

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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