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limiter

Cap audio output to prevent clipping by applying a limiter with adjustable ceiling, hold time, limiter type, and channel gain. Optionally add makeup gain.

Instructions

Apply a limiter to prevent audio from exceeding a threshold. Use after compression.

Default ceiling is -1.0 dB, the industry standard for streaming platforms.

Args: limit_db: Maximum output level (dB). Default: -1.0 hold_ms: Hold time in milliseconds. Default: 10.0 makeup_gain: Apply makeup gain ("Yes" or "No"). Default: "No" limiter_type: "SoftLimit", "HardLimit", "SoftClip", "HardClip". Default: "SoftLimit" gain_left: Input gain for left channel (dB). Default: 0.0 gain_right: Input gain for right channel (dB). Default: 0.0

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hold_msNo
limit_dbNo
gain_leftNo
gain_rightNo
makeup_gainNoNo
limiter_typeNoSoftLimit
Behavior2/5

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

No annotations are provided, so the description carries full burden. It explains defaults and parameters but does not disclose that the tool modifies audio irreversibly (though undo may apply), nor does it mention selection scope or potential side effects like clipping.

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

Conciseness4/5

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

The description is well-structured with a brief intro, a note about default ceiling, and a clean args list. It is front-loaded and contains no fluff, though the args list could potentially be shortened if defaults were already obvious from schema.

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?

Given 6 parameters and no output schema or annotations, the description adequately documents parameters but fails to explain what happens after applying (e.g., modifies selected audio, can be undone, etc.). It is complete for parameter meaning but lacks broader usage context.

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

Parameters5/5

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

The schema has 0% description coverage (only titles and defaults), but the description provides complete explanations for all 6 parameters, including examples ('limit_db: Maximum output level (dB). Default: -1.0'), units, and enum values for limiter_type. This fully compensates for the schema 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 clearly states it applies a limiter to prevent audio from exceeding a threshold, which is a specific verb and resource. It also suggests using it after compression, providing context that helps distinguish it from similar effect tools like compressor.

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?

The description provides one explicit guideline ('Use after compression'), but lacks when-not-to-use or alternative tools. For a limiter, alternatives like compressor or normalize could be mentioned for clarity.

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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