This record as markdown: /tools/io-github-dreamrec-livepilot/freeze-track.md
What freeze_track does on Livepilot
AI agents invoke freeze_track to trigger actions in Livepilot. 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.
Why freeze_track is rated High
In Ableton Live, 'freeze' renders a track's audio in-place to reduce CPU load. This is a reversible operation (tracks can be unfrozen) but it triggers a render/processing action rather than a simple data read or write. The closest category is Execute, as it triggers an external operation in the DAW. Confidence is low due to empty description.
From the tool's definition Tool name is 'freeze_track'; description is empty or uninformative.
Attacks that exploit this kind of access
The rule that runs freeze_track 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 freeze_track, this is the rule to start with:
freeze_track stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 freeze_track call is checked against it from then on.
Questions about freeze_track
freeze_track is a execute tool on the Livepilot MCP server. It is categorised as a Execute tool in the Livepilot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Livepilot MCP server in PolicyLayer and add a rule for freeze_track: 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.
freeze_track 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 freeze_track 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 freeze_track. 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.
freeze_track 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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