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generate_noise

Create white, pink, or Brownian noise audio with adjustable amplitude and duration for audio testing, sound design, or masking purposes.

Instructions

Generate noise.

Args: noise_type: "White", "Pink", or "Brownian". Default: "White" amplitude: Amplitude (0-1). Default: 0.8 duration: Duration in seconds. Default: 1.0

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noise_typeNoWhite
amplitudeNo
durationNo
Behavior2/5

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

With no annotations provided, the description fails to disclose critical behavioral aspects such as where the generated audio is placed (current track, new track, cursor position, selection), whether it overwrites existing content, or what the return value indicates. While parameter constraints (0-1 range, units) are documented, the essential side effects of the operation remain unexplained.

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 docstring format with Args section is well-structured and efficiently organized. The content is front-loaded with the action statement followed by parameter details. Minor deduction because the opening statement 'Generate noise.' is overly terse and could clarify the audio domain context.

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?

For a three-parameter tool with no required parameters, the description adequately covers input semantics through the Args documentation. However, it lacks completeness regarding output behavior—specifically where the generated noise is inserted in the audio project—which is critical information for an audio editing tool.

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?

Given 0% schema description coverage, the Args section comprehensively compensates by documenting all three parameters with valid enum values ('White', 'Pink', 'Brownian'), range constraints (0-1), units (seconds), and default values. This provides complete semantic meaning missing from the structured schema.

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

Purpose3/5

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

The description states the basic action ('Generate noise') but offers minimal differentiation from sibling generation tools like generate_tone or generate_chirp. While the verb and resource are identifiable, it lacks context about what distinguishes noise generation from other audio generation capabilities.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., when to use generate_noise vs generate_tone or importing audio). There are no stated prerequisites, constraints, or scenarios for appropriate use.

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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