record
AI agents call record as a supporting operation in Pronunciation & Voice Coach workflows.
With no description, classification is uncertain. In the context of a pronunciation/voice coach server with sibling tools like 'analyze_uploaded_audio', 'check_mic', and 'latest_voice_capture', 'record' most likely captures audio input for coaching purposes. This is a Read/Write-adjacent action (capturing microphone input), but given the educational context and low blast radius, it fits best as 'Other' or 'Write'.
From the tool's definition Tool description is empty and uninformative; tool name 'record' in context of a voice coach server suggests audio recording functionality.
Attacks that exploit this kind of access
record. It is categorised as a Other tool in the Pronunciation & Voice Coach MCP Server, which means it performs auxiliary operations.
Register the Pronunciation & Voice Coach MCP server in PolicyLayer and add a rule for record: 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.
record is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the record 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 record. 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.
record 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.
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