List all users in the Ludus system. Requires admin privileges.
AI agents call list_all_users 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 performs a read operation (list/query) with no side effects on data. It retrieves user information from the Ludus system. The 'high' severity reflects that it accesses sensitive admin-level information about all users in a cybersecurity training platform, which could be exploited to identify targets or gather organizational intelligence, but it does not modify, delete, or execute actions.
From the tool's definition Tool description explicitly states 'List all users' which retrieves user information without modification. However, the description notes it 'Requires admin privileges', suggesting access to sensitive identity/account data across the entire system.
Risk signalsBulk/mass operation — affects multiple targets · Admin/system-level operation
Documented attack patterns abuse exactly the kind of access list_all_users 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 list_all_users:
{
"version": "1",
"default": "deny",
"tools": {
"list_all_users": {}
}
} list_all_users is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all users in the Ludus system. Requires admin privileges. 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 list_all_users: 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.
list_all_users 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 list_all_users 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 list_all_users. 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.
list_all_users 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.
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29 LudusMCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.