AI agents invoke effect_high_pass_filter to trigger actions in AudacityMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The description is empty, so classification relies on name and server context. A high-pass filter is an audio effect that modifies audio data by attenuating frequencies below a cutoff point. In Audacity's context, applying an effect modifies the audio in the project, making it a Write/Execute operation.
From the tool's definition Tool name 'effect_high_pass_filter' and server context of audio editing/processing in Audacity
Documented attack patterns abuse exactly the kind of access effect_high_pass_filter 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_high_pass_filter:
{
"version": "1",
"default": "deny",
"tools": {
"effect_high_pass_filter": {
"limits": [
{
"counter": "effect_high_pass_filter_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} effect_high_pass_filter stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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effect_high_pass_filter. It is categorised as a Execute tool in the AudacityMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Audacity MCP server in PolicyLayer and add a rule for effect_high_pass_filter: 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_high_pass_filter is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the effect_high_pass_filter 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_high_pass_filter. 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_high_pass_filter 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.