AI agents call auth_status to retrieve information from CyberMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
With no description provided, we infer from the name that auth_status retrieves or reports current authentication status—a read operation with no side effects. The empty description lowers confidence slightly, but the naming pattern and context of a security testing server suggest this is a diagnostic query tool rather than an action tool.
From the tool's definition Tool name 'auth_status' suggests querying authentication state. Description is empty, limiting certainty. Sibling tools include vulnerability checks (auth_bypass_check, jwt_vulnerability_check, path_traversal_check) which are Execute-category, but auth_status…
Documented attack patterns abuse exactly the kind of access auth_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CyberMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for auth_status:
{
"version": "1",
"default": "deny",
"tools": {
"auth_status": {}
}
} auth_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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auth_status. It is categorised as a Read tool in the CyberMCP MCP Server, which means it retrieves data without modifying state.
Register the Cyber MCP server in PolicyLayer and add a rule for auth_status: 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 CyberMCP. Nothing to install.
auth_status 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 auth_status 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 auth_status. 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.
auth_status is provided by the Cyber MCP server (ricauts/cybermcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CyberMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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14 CyberMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.