Export raw sample data from the selected audio to a text file for analysis.
AI agents use analyze_sample_data_export 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 writes data to the filesystem by exporting sample data to a text file. While it reads audio data, the primary action is creating/writing an output file on disk. It is reversible (the file can be deleted), so it falls under Write rather than Destructive. Severity is medium because it could write files to arbitrary locations depending on arguments.
From the tool's definition Export raw sample data from the selected audio to a text file
Documented attack patterns abuse exactly the kind of access analyze_sample_data_export 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 analyze_sample_data_export:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_sample_data_export": {
"limits": [
{
"counter": "analyze_sample_data_export_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}analyze_sample_data_export 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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Export raw sample data from the selected audio to a text file for analysis. 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 analyze_sample_data_export: 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.
analyze_sample_data_export 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 analyze_sample_data_export 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 analyze_sample_data_export. 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.
analyze_sample_data_export 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.