[DEPRECATED] Get built-in RADIUS server users. There is no per-user detail endpoint — this is an alias for getBuiltinRadiusUsers. Use getBuiltinRadiusUsers instead.
AI agents call getRadiusUserDetail to retrieve information from Tplink Omada without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a Read operation that queries and retrieves sensitive user authentication data from the RADIUS server. While it performs no modifications, the sensitivity of RADIUS user credentials and authentication details warrants medium severity—an attacker could use exposed user lists to target authentication systems.
From the tool's definition Tool retrieves RADIUS server users ("Get built-in RADIUS server users"), which are authentication credentials and user details. The description explicitly states it returns user detail information.
Documented attack patterns abuse exactly the kind of access getRadiusUserDetail gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tplink Omada, and nothing reaches the server without passing your rules. This is the rule we recommend for getRadiusUserDetail:
{
"version": "1",
"default": "deny",
"tools": {
"getRadiusUserDetail": {}
}
} getRadiusUserDetail is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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[DEPRECATED] Get built-in RADIUS server users. There is no per-user detail endpoint — this is an alias for getBuiltinRadiusUsers. Use getBuiltinRadiusUsers instead. It is categorised as a Read tool in the Tplink Omada MCP Server, which means it retrieves data without modifying state.
Register the Tplink Omada MCP server in PolicyLayer and add a rule for getRadiusUserDetail: 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 Tplink Omada. Nothing to install.
getRadiusUserDetail 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 getRadiusUserDetail 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 getRadiusUserDetail. 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.
getRadiusUserDetail is provided by the Tplink Omada MCP server (migueltvms/tplink-omada-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tplink Omada, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
327 Tplink Omada tools catalogued and risk-classified — across an index of 43,000+ MCP servers.