AI agents use track_resample 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.
Resampling is a reversible modification to audio: the original file can be restored by resampling back to the original rate or using undo functionality. It does not irreversibly delete data (so not Destructive) and does not execute arbitrary code or shell commands (so not Execute).
From the tool's definition Tool description states 'Resample the selected track to a new sample rate' — this modifies audio data by changing its sample rate, which alters the track's properties and data in a way that affects playback and can degrade quality if done incorrectly.
Documented attack patterns abuse exactly the kind of access track_resample 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 track_resample:
{
"version": "1",
"default": "deny",
"tools": {
"track_resample": {
"limits": [
{
"counter": "track_resample_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}track_resample 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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Resample the selected track to a new sample rate. 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 track_resample: 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.
track_resample 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 track_resample 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 track_resample. 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.
track_resample 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.