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audio_isolation

Isolate vocals or audio from background noise using ElevenLabs via kie.ai. Input an audio URL, get clean isolated audio back.

Instructions

Isolate vocals or audio from background noise using ElevenLabs via kie.ai. Input an audio URL, get clean isolated audio back.

Input Schema

NameRequiredDescriptionDefault
filenameNoOutput filename. Auto-generated if omitted.
audio_urlYesAudio URL to process (max 10MB)
max_creditsNoRefuse to submit if the estimated cost exceeds this many credits (overrides KIE_MAX_CREDITS_PER_CALL). Estimates come from published rates; kie bills the actual amount.
download_dirNoAbsolute directory to save the file(s) into (created if missing). Defaults to the server's kie/assets/raw/. Must be absolute — the MCP server's working directory is not the caller's.
estimate_onlyNoReturn the estimated credit cost WITHOUT submitting anything. Use before expensive runs (video, 4K, 1080p upgrades, layer splits).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv5.8.0
    • addedInput schema / properties / estimate_only
      Added value: +{
      +  "description": "Return the estimated credit cost WITHOUT submitting anything. Use before expensive runs (video, 4K, 1080p upgrades, layer splits).",
      +  "type": "boolean"
      +}
    • addedInput schema / properties / max_credits
      Added value: +{
      +  "description": "Refuse to submit if the estimated cost exceeds this many credits (overrides KIE_MAX_CREDITS_PER_CALL). Estimates come from published rates; kie bills the actual amount.",
      +  "type": "number"
      +}
  2. First observedv4.7.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, yet it only restates the input/output shape. For a credit-consuming, likely asynchronous job it never says that credits are spent, whether the call blocks or returns a task handle, how large inputs are handled, or what the output artifact looks like. The schema hints at cost controls but the description itself is thin.

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?

Two short sentences, front-loaded with the core action and immediately followed by the input/output contract. No filler.

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?

The description is adequate for what the tool produces, and no output schema exists so return-value detail is minimal. However, for a paid generation tool with no annotations, it omits the cost/async behavior an agent needs to call it safely and to choose it over separate_vocals.

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

Parameters3/5

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

Schema description coverage is 100%, so filename, audio_url, max_credits, download_dir, and estimate_only are already fully documented in structured data. The description adds no extra semantics for any of them, so baseline 3 applies.

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 (isolate) and resource (vocals/audio) and clarifies the transformation: input URL in, clean isolated audio out. It does not, however, distinguish itself from the sibling separate_vocals, leaving the agent to guess which of the two isolation tools to pick.

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?

There is no when-to-use guidance, no exclusions, and no mention of the closely related separate_vocals sibling. The only structural hint is the schema's estimate_only note about expensive runs, which is not framed as selection guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.