scatter_props
Scatter seeded model copies inside a radius. Existing calls mutate immediately and keep the legacy { scattered, groupId, seed } result. Use dryRun:true to resolve random transforms and ground traces once, returning per-slot transforms, ground status, warnings, model bounds, and planId; commit_pla...
This record as markdown: /tools/sbox/scatter-props.md
What scatter_props does on Sbox
AI agents use scatter_props to create or update resources in Sbox, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sbox environment.
Why scatter_props is rated Medium
Tool creates/modifies game objects persistently but reversibly via commit mechanism.
From the tool's definition scatter seeded model copies, mutate immediately, creates placement
Attacks that exploit this kind of access
The rule that runs scatter_props safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sbox, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scatter_props, this is the rule to start with:
scatter_props 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 Sbox, apply this rule, and every scatter_props call is checked against it from then on.
Questions about scatter_props
Scatter seeded model copies inside a radius. Existing calls mutate immediately and keep the legacy { scattered, groupId, seed } result. Use dryRun:true to resolve random transforms and ground traces once, returning per-slot transforms, ground status, warnings, model bounds, and planId; commit_placement_plan creates exactly that preview with rollback on failure. It is categorised as a Write tool in the Sbox MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sbox MCP server in PolicyLayer and add a rule for scatter_props: 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 Sbox. Nothing to install.
scatter_props 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 scatter_props 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 scatter_props. 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.
scatter_props is provided by the Sbox MCP server (sbox-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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