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isolate_audio

Remove background noise from audio files to isolate voice, cleaning field recordings, podcasts, or noisy clips for further use.

Instructions

Remove background noise / isolate the voice from an audio file (ElevenLabs).

For cleaning up field recordings, podcast takes, or noisy clips before further use.

Args: audio: Local path to the audio file to clean.

Returns: {"path": } or {"error"}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audioYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the core behavior (removing noise/isolating voice) and the return format, but does not mention potential side effects, processing constraints, or whether the original file is modified. This is adequate but not rich.

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

Conciseness5/5

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

The description is concise and well-structured: a purpose statement, a usage context sentence, and clearly labeled Args/Returns sections. Every sentence contributes information, with no redundant filler.

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

Completeness4/5

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

For a single-parameter tool with no output schema and no annotations, the description covers purpose, usage context, parameter meaning, and return format. It is nearly complete, but could benefit from mentioning whether the original file is preserved or any error conditions beyond the generic 'error'.

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 schema has 0% description coverage for the 'audio' parameter, but the description adds meaning by specifying 'Local path to the audio file to clean.' This clarifies that the parameter is a filesystem path, not a URL or ID, and the purpose. It does not mention file formats or size limits, so it stops short of a 5.

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

Purpose5/5

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

The description opens with a specific verb and resource: 'Remove background noise / isolate the voice from an audio file', which clearly defines the tool's purpose. This distinguishes it from siblings like generate_speech or transcribe, which handle different audio tasks.

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

Usage Guidelines4/5

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

The description gives clear context for when to use the tool: 'For cleaning up field recordings, podcast takes, or noisy clips before further use.' It does not explicitly mention alternatives or exclusions, but the use cases are well-defined. This is just short of the explicitness required for a 5.

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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