set_track_input_monitoring
Set input monitoring (0=In, 1=Auto, 2=Off). Only for regular tracks, not return tracks.
This record as markdown: /tools/io-github-dreamrec-livepilot/set-track-input-monitoring.md
What set_track_input_monitoring does on Livepilot
AI agents use set_track_input_monitoring to create or update resources in Livepilot, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Livepilot environment.
Why set_track_input_monitoring is rated Medium
This tool modifies the input monitoring mode of a track, which changes how the track behaves during recording/playback. This is reversible (can be set back to a different state), so it qualifies as Write rather than Destructive. Severity is medium because misconfiguration could affect audio routing and workflow, but does not cause permanent data loss or execute arbitrary code.
From the tool's definition Tool description: 'Set input monitoring (0=In, 1=Auto, 2=Off)'. The verb 'Set' indicates modification of track state. Input monitoring is a configuration property of audio tracks in Ableton Live.
Attacks that exploit this kind of access
The rule that runs set_track_input_monitoring safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livepilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_track_input_monitoring, this is the rule to start with:
set_track_input_monitoring stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Livepilot, apply this rule, and every set_track_input_monitoring call is checked against it from then on.
Questions about set_track_input_monitoring
Set input monitoring (0=In, 1=Auto, 2=Off). Only for regular tracks, not return tracks. It is categorised as a Write tool in the Livepilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Livepilot MCP server in PolicyLayer and add a rule for set_track_input_monitoring: 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 Livepilot. Nothing to install.
set_track_input_monitoring is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_track_input_monitoring 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_track_input_monitoring. 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_track_input_monitoring is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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