[DEPRECATED] Get application control rules for a site. This is an alias for getAppControlRules — use getAppControlRules instead.
AI agents call getApplicationAcl 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 retrieves application control rules configuration for a site without modifying, executing, or deleting anything. It is purely informational/observational. The deprecation notice and alias reference do not change its fundamental read-only nature.
From the tool's definition Tool name is "getApplicationAcl" with description stating it "Get[s] application control rules for a site". The verb "Get" and lack of any modification, deletion, or execution keywords indicate a read-only retrieval operation.
Documented attack patterns abuse exactly the kind of access getApplicationAcl 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 getApplicationAcl:
{
"version": "1",
"default": "deny",
"tools": {
"getApplicationAcl": {}
}
} getApplicationAcl 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 application control rules for a site. This is an alias for getAppControlRules — use getAppControlRules 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 getApplicationAcl: 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.
getApplicationAcl 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 getApplicationAcl 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 getApplicationAcl. 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.
getApplicationAcl 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.
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