UE reflection: classes, structs, enums, gameplay tags. Actions: - reflect_class: Reflect UClass. Params: className, includeInherited? - reflect_struct: Reflect UScriptStruct. Params: structName - reflect_enum: Reflect UEnum. Params: enumName - list_classes: List classes. Params: parentFilter?, li...
Risk signalsHigh parameter count (15 properties)
Part of the Ue server.
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AI agents use reflection 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 reflection 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": {
"reflection": {
"limits": [
{
"counter": "reflection_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 reflection 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.
UE reflection: classes, structs, enums, gameplay tags. Actions: - reflect_class: Reflect UClass. Params: className, includeInherited? - reflect_struct: Reflect UScriptStruct. Params: structName - reflect_enum: Reflect UEnum. Params: enumName - list_classes: List classes. Params: parentFilter?, limit? - list_tags: List gameplay tags. Params: filter? - create_tag: Create gameplay tag. Params: tag, comment? - create_enum: Create UUserDefinedEnum asset, optionally seeded with entries. Params: name, packagePath?, entries?: (string|{name, displayName?})[], onConflict? (#274) - set_enum_entries: Replace entries on an existing UUserDefinedEnum. Params: assetPath, entries[] (#274). 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 reflection: 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.
reflection 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 reflection 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 reflection. 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.
reflection 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.