AI agents use scene_build to create or update resources in Cartridge — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cartridge environment.
The tool creates/configures a scene by combining cartridges, skins, and role assignments. This is a write/create operation that assembles a new scene configuration. It does not appear to execute code, delete data, or involve financial operations. Confidence is moderate because the description is brief and doesn't detail exactly what 'building a scene' entails in terms of side effects.
From the tool's definition Build a scene with cartridge + skin + role assignments
Attacks that exploit this kind of access
Build a scene with cartridge + skin + role assignments. It is categorised as a Write tool in the Cartridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cartridge MCP server in PolicyLayer and add a rule for scene_build: 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 Cartridge. Nothing to install.
scene_build 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 scene_build 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 scene_build. 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.
scene_build is provided by the Cartridge MCP server (lucineer/cartridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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