Get the client inactivity timeout setting. Clients are marked inactive after this period of no traffic.
AI agents call getClientActiveTimeout 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 only queries and retrieves an existing configuration value from the TP-Link Omada controller. It has no side effects, does not modify data, and does not trigger any actions. It is a simple informational read of a network timeout parameter. The severity is low because even if misused by an AI agent, it only exposes a benign configuration detail that cannot cause operational damage.
From the tool's definition The tool 'getClientActiveTimeout' retrieves the client inactivity timeout setting with no capability to modify or change the configuration. The description explicitly states 'Get' which is a read-only operation.
Documented attack patterns abuse exactly the kind of access getClientActiveTimeout 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 getClientActiveTimeout:
{
"version": "1",
"default": "deny",
"tools": {
"getClientActiveTimeout": {}
}
}getClientActiveTimeout 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 client inactivity timeout setting. Clients are marked inactive after this period of no traffic. 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 getClientActiveTimeout: 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.
getClientActiveTimeout 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 getClientActiveTimeout 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 getClientActiveTimeout. 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.
getClientActiveTimeout 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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