Get the Omada controller health and status, including running state, uptime, and resource usage.
AI agents call getControllerStatus 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 tool performs a simple retrieval of controller status metrics (health, running state, uptime, resource usage). It has no side effects, does not modify data, and does not execute commands or trigger external operations. It is purely informational and falls squarely into the Read category.
From the tool's definition Tool name 'getControllerStatus' and description 'Get the Omada controller health and status, including running state, uptime, and resource usage' indicate a read-only query operation that retrieves status information without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access getControllerStatus 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 getControllerStatus:
{
"version": "1",
"default": "deny",
"tools": {
"getControllerStatus": {}
}
}getControllerStatus is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the Omada controller health and status, including running state, uptime, and resource usage. 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 getControllerStatus: 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.
getControllerStatus 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 getControllerStatus 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 getControllerStatus. 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.
getControllerStatus 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.
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