This record as markdown: /tools/io-github-dreamrec-livepilot/build-reference-profile.md
What build_reference_profile does on Livepilot
AI agents invoke build_reference_profile 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 build_reference_profile is rated High
build_reference_profile triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs build_reference_profile 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 build_reference_profile, this is the rule to start with:
build_reference_profile 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 build_reference_profile call is checked against it from then on.
Questions about build_reference_profile
build_reference_profile 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 build_reference_profile: 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.
build_reference_profile 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 build_reference_profile 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 build_reference_profile. 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.
build_reference_profile 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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