Get the top devices by memory usage for a site, useful for identifying memory-constrained devices.
AI agents call getDashboardTopMemoryUsage 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 and displays memory usage metrics from the Omada controller for informational purposes. It performs a read-only query operation with no side effects, no code execution, no data modification, and no destructive or financial impact. The data retrieved helps identify resource constraints but does not alter system state.
From the tool's definition Tool name 'getDashboardTopMemoryUsage' and description 'Get the top devices by memory usage for a site' indicate a retrieval operation that queries monitoring/dashboard data without modification.
Documented attack patterns abuse exactly the kind of access getDashboardTopMemoryUsage 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 getDashboardTopMemoryUsage:
{
"version": "1",
"default": "deny",
"tools": {
"getDashboardTopMemoryUsage": {}
}
}getDashboardTopMemoryUsage 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 top devices by memory usage for a site, useful for identifying memory-constrained devices. 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 getDashboardTopMemoryUsage: 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.
getDashboardTopMemoryUsage 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 getDashboardTopMemoryUsage 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 getDashboardTopMemoryUsage. 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.
getDashboardTopMemoryUsage 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.