Fire a Session view scene by index, triggering all clips on that row. Use for arrangement-style playback from scenes. NOT idempotent: re-triggering restarts clips; returns scene name and marks async transport verification unverified.
AI agents invoke scene_fire to trigger actions in Ableton Mind. 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 playback of clips in Ableton Live, which is an external operation with real-time audio/transport side effects. It is explicitly marked as non-idempotent and causes state changes in the live session. It does not delete data (not Destructive) nor move money (not Financial), but it executes an action that affects external software state, making Execute the appropriate category.
From the tool's definition 'Fire a Session view scene by index, triggering all clips on that row' and 'NOT idempotent: re-triggering restarts clips'
Attacks that exploit this kind of access
Fire a Session view scene by index, triggering all clips on that row. Use for arrangement-style playback from scenes. NOT idempotent: re-triggering restarts clips; returns scene name and marks async transport verification unverified. It is categorised as a Execute tool in the Ableton Mind MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ableton Mind MCP server in PolicyLayer and add a rule for scene_fire: 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 Ableton Mind. Nothing to install.
scene_fire 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 scene_fire 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 scene_fire. 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.
scene_fire is provided by the Ableton Mind MCP server (ableton-mind). 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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