This record as markdown: /tools/io-github-dreamrec-livepilot/capture-stop.md
What capture_stop does on Livepilot
AI agents invoke capture_stop 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 capture_stop is rated High
The name 'capture_stop' implies triggering an action (stopping a capture/recording process) rather than passively reading data. Stopping a capture is an Execute-category action—it triggers an external operation whose effects depend on the current state. While not Destructive (data is not irreversibly deleted) or Write (data is not created/modified), it performs a state-change action.
From the tool's definition Tool name 'capture_stop' suggests stopping a capture operation in Ableton Live. The description is empty, limiting direct textual evidence. Context from sibling tools indicates this server controls Ableton Live 12 music production features.
Attacks that exploit this kind of access
The rule that runs capture_stop 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 capture_stop, this is the rule to start with:
capture_stop 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 capture_stop call is checked against it from then on.
Questions about capture_stop
capture_stop 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 capture_stop: 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.
capture_stop 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 capture_stop 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 capture_stop. 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.
capture_stop 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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