get_input_action

Read all properties, triggers, and modifiers of an Input Action.

SERVERUnreal-MCP SOURCEaadeshrao123/unreal-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aadeshrao123-unreal-mcp/get-input-action.md

WHAT IT DOES

What get_input_action does on Unreal-MCP

AI agents call get_input_action to retrieve information from Unreal-MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_input_action is rated Low

This tool retrieves configuration data about an Input Action in Unreal Engine 5. It has no side effects, does not modify state, and poses minimal risk if misused by an AI agent—the worst outcome would be unauthorized information disclosure about input mappings, which is low severity in a development environment.

From the tool's definition Tool name 'get_input_action' and description 'Read all properties, triggers, and modifiers of an Input Action' explicitly indicate a read operation that retrieves data without modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_input_action safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Unreal-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_input_action, this is the rule to start with:

get_input_action Allowed

get_input_action is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_input_action": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Unreal-MCP, apply this rule, and every get_input_action call is checked against it from then on.

FAQ

Questions about get_input_action

What does the get_input_action tool do? +

Read all properties, triggers, and modifiers of an Input Action. It is categorised as a Read tool in the Unreal-MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_input_action? +

Register the Unreal MCP server in PolicyLayer and add a rule for get_input_action: 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 Unreal-MCP. Nothing to install.

What risk level is get_input_action? +

get_input_action is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_input_action? +

Yes. Add a rate_limit block to the get_input_action 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.

How do I block get_input_action completely? +

Set action: deny in the PolicyLayer policy for get_input_action. 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.

What MCP server provides get_input_action? +

get_input_action is provided by the Unreal MCP server (aadeshrao123/unreal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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