This record as markdown: /tools/io-github-dreamrec-livepilot/generate-tintinnabuli.md
What generate_tintinnabuli does on Livepilot
AI agents use generate_tintinnabuli 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 generate_tintinnabuli is rated Medium
An AI agent can call generate_tintinnabuli faster than any human can review: one bad instruction and it creates or modifies resources in Livepilot by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs generate_tintinnabuli 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 generate_tintinnabuli, this is the rule to start with:
generate_tintinnabuli 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 generate_tintinnabuli call is checked against it from then on.
Questions about generate_tintinnabuli
generate_tintinnabuli is a write tool on the Livepilot MCP server. 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 generate_tintinnabuli: 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.
generate_tintinnabuli 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 generate_tintinnabuli 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 generate_tintinnabuli. 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.
generate_tintinnabuli 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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