AI agents call get_users to retrieve information from HUDU MCP 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 that fetches user information from the HUDU platform. While it carries medium severity due to potential exposure of sensitive user data (names, roles, contact information), it is purely retrievals with no destructive, financial, or code execution capabilities. The blast radius is limited to information disclosure rather than system compromise or data loss.
From the tool's definition Tool name 'get_users' and description 'Retrieve users from HUDU' indicate a read-only operation that queries user data without modification. The verb 'Retrieve' explicitly signals data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access get_users gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and HUDU MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_users:
{
"version": "1",
"default": "deny",
"tools": {
"get_users": {}
}
} get_users is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve users from HUDU. It is categorised as a Read tool in the HUDU MCP Server MCP Server, which means it retrieves data without modifying state.
Register the HUDU MCP Server MCP server in PolicyLayer and add a rule for get_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 HUDU MCP Server. Nothing to install.
get_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 get_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 get_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.
get_users is provided by the HUDU MCP Server MCP server (jlbyh2o/hudu-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from HUDU MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 HUDU MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.