Foliage painting, types, sampling, and settings. Actions: - list_types: List foliage types in level - get_settings: Read foliage type settings. Params: foliageTypeName - sample: Query instances in region. Params: center, radius, foliageType? - create_type: Create foliage type from mesh. Params: m...
Risk signalsHigh parameter count (14 properties)
Part of the Ue server.
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AI agents use foliage to create or modify resources in Ue. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call foliage repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Ue.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"foliage": {
"limits": [
{
"counter": "foliage_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Ue policy for all 22 tools.
These attack patterns abuse exactly the kind of access foliage gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Foliage painting, types, sampling, and settings. Actions: - list_types: List foliage types in level - get_settings: Read foliage type settings. Params: foliageTypeName - sample: Query instances in region. Params: center, radius, foliageType? - create_type: Create foliage type from mesh. Params: meshPath, name?, packagePath? - set_settings: Modify type settings. Params: foliageTypeName, settings. It is categorised as a Write tool in the Ue MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ue MCP server in PolicyLayer and add a rule for foliage: 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 Ue. Nothing to install.
foliage 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 foliage 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 foliage. 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.
foliage is provided by the Ue MCP server (ue-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 Ue tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.