List all users in the Ludus system. Returns: List of all users with their information
AI agents call list_users to retrieve information from Ludus FastMCP 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 user information without modifying, deleting, or executing any operations. It is a simple read operation that retrieves data from the system. The blast radius of misuse is limited to information disclosure of user account names and associated metadata, which is typically low severity in a controlled cyber range environment.
From the tool's definition Tool name is 'list_users' and description states it 'List all users in the Ludus system' and 'Returns: List of all users with their information'. This is a retrieval operation with no side effects.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access list_users gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ludus FastMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_users:
{
"version": "1",
"default": "deny",
"tools": {
"list_users": {}
}
}list_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. Returns: List of all users with their information. It is categorised as a Read tool in the Ludus FastMCP MCP Server, which means it retrieves data without modifying state.
Register the Ludus Fast MCP server in PolicyLayer and add a rule for list_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 Ludus FastMCP. Nothing to install.
list_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_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_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_users is provided by the Ludus Fast MCP server (tjnull/ludus-fastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 201 Ludus FastMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.