AI agents invoke set_song_position 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 by repositioning the playhead, affecting the state of the DAW session. It's not a pure read, nor does it write/delete data — it executes a transport control action on an external system. The blast radius is low since it only moves the playback position and doesn't alter any project data.
From the tool's definition Move the playhead to a specific bar and beat
Attacks that exploit this kind of access
Move the playhead to a specific bar and beat. 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 set_song_position: 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.
set_song_position 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 set_song_position 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 set_song_position. 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.
set_song_position 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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