Wait until a background voice capture reaches done/error/cancelled.
AI agents invoke wait_for_voice_capture to trigger actions in Pronunciation & Voice Coach. 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.
This tool initiates or monitors execution of a voice capture process, which is an external operation whose completion depends on system state. While the risk is low (voice capture for coaching purposes), it still constitutes triggering/managing an execution workflow rather than pure data retrieval.
From the tool's definition Tool name includes 'wait_for' and description states it waits until a background voice capture reaches done/error/cancelled, indicating it monitors or manages an asynchronous operation.
Attacks that exploit this kind of access
Wait until a background voice capture reaches done/error/cancelled. It is categorised as a Execute tool in the Pronunciation & Voice Coach MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pronunciation & Voice Coach MCP server in PolicyLayer and add a rule for wait_for_voice_capture: 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 Pronunciation & Voice Coach. Nothing to install.
wait_for_voice_capture 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 wait_for_voice_capture 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 wait_for_voice_capture. 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.
wait_for_voice_capture is provided by the Pronunciation & Voice Coach MCP server (pypi:mcp-server-pronunciation). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →