Repair a very short damaged section of audio (max 128 samples).
AI agents use effect_repair to create or update resources in AudacityMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AudacityMCP environment.
The tool modifies audio content reversibly by applying a repair/restoration effect to a very small section (max 128 samples, roughly 2.6ms at 48kHz). This is a Write action because it creates or modifies data within Audacity's project. Severity is low because the scope is extremely limited to 128 samples maximum, minimizing blast radius and impact.
From the tool's definition Tool description states it 'Repair a very short damaged section of audio (max 128 samples)' — this modifies audio data by applying a repair effect to a localized section.
Documented attack patterns abuse exactly the kind of access effect_repair gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AudacityMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for effect_repair:
{
"version": "1",
"default": "deny",
"tools": {
"effect_repair": {
"limits": [
{
"counter": "effect_repair_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}effect_repair stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Repair a very short damaged section of audio (max 128 samples). It is categorised as a Write tool in the AudacityMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Audacity MCP server in PolicyLayer and add a rule for effect_repair: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AudacityMCP. Nothing to install.
effect_repair is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the effect_repair rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for effect_repair. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
effect_repair is provided by the Audacity MCP server (xdarkzx/audacity-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 131 AudacityMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
131 AudacityMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.