Get current range configuration from Ludus server or retrieve example configuration.
AI agents call get_range_config to retrieve information from LudusMCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns configuration data without creating, modifying, deleting, or executing operations. It is purely informational, allowing users to view existing range configurations or example templates. The blast radius of misuse is minimal—an attacker could learn about configuration details but cannot alter systems or trigger destructive actions through this tool alone.
From the tool's definition Tool description states 'Get current range configuration from Ludus server or retrieve example configuration' — uses 'Get' and 'retrieve', which are read operations with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_range_config gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and LudusMCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_range_config:
{
"version": "1",
"default": "deny",
"tools": {
"get_range_config": {}
}
}get_range_config is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get current range configuration from Ludus server or retrieve example configuration. It is categorised as a Read tool in the LudusMCP Server MCP Server, which means it retrieves data without modifying state.
Register the LudusMCP Server MCP server in PolicyLayer and add a rule for get_range_config: 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 LudusMCP Server. Nothing to install.
get_range_config is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_range_config 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 get_range_config. 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.
get_range_config is provided by the LudusMCP Server MCP server (noctedefensor/ludusmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 29 LudusMCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
29 LudusMCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.