AI agents use effect_reverse 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.
This tool modifies audio data reversibly—the effect can be undone in Audacity or reversed again to restore the original. It does not permanently delete data (Destructive), execute arbitrary code (Execute), or handle financial transactions. It creates a modified version of the audio (Write).
From the tool's definition effect_reverse reverses the selected audio, modifying the audio content in a way that is reversible (the effect can be undone or reversed again).
Documented attack patterns abuse exactly the kind of access effect_reverse 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_reverse:
{
"version": "1",
"default": "deny",
"tools": {
"effect_reverse": {
"limits": [
{
"counter": "effect_reverse_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}effect_reverse 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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Reverse the selected audio. Select a region first. 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_reverse: 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_reverse 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_reverse 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_reverse. 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_reverse 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.
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131 AudacityMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.