This record as markdown: /tools/libi/libi.load-scene.md
What libi.load_scene does on Libi
AI agents use libi.load_scene to create or update resources in Libi, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Libi environment.
Why libi.load_scene is rated Medium
An AI agent can call libi.load_scene faster than any human can review: one bad instruction and it creates or modifies resources in Libi by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs libi.load_scene safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Libi, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For libi.load_scene, this is the rule to start with:
libi.load_scene 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 Libi, apply this rule, and every libi.load_scene call is checked against it from then on.
Questions about libi.load_scene
Load a single scene. It is categorised as a Write tool in the Libi MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Libi MCP server in PolicyLayer and add a rule for libi.load_scene: 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 Libi. Nothing to install.
libi.load_scene 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 libi.load_scene 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 libi.load_scene. 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.
libi.load_scene is provided by the Libi MCP server (Nagellabs/libi). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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