AI agents invoke transport_toggle_record to trigger actions in Flai. 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 triggers an external operation in FL Studio (starting or stopping recording), which is a stateful action in the DAW that can affect audio/MIDI capture. It does not simply read data, nor does it irreversibly delete or overwrite existing content in a typical scenario.
From the tool's definition Toggle recording on/off in FL Studio
Attacks that exploit this kind of access
Toggle recording on/off in FL Studio. It is categorised as a Execute tool in the Flai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Flai MCP server in PolicyLayer and add a rule for transport_toggle_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 Flai. Nothing to install.
transport_toggle_record 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 transport_toggle_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 transport_toggle_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.
transport_toggle_record is provided by the Flai MCP server (kaupau/flai-mcp). 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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