getDashboardTopMemoryUsage
Get the top devices by memory usage for a site, useful for identifying memory-constrained devices.
This record as markdown: /tools/migueltvms-tplink-omada-mcp/getdashboardtopmemoryusage.md
What getDashboardTopMemoryUsage does on Tplink Omada
AI agents call getDashboardTopMemoryUsage to retrieve information from Tplink Omada without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why getDashboardTopMemoryUsage is rated Low
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.
Attacks that exploit this kind of access
The rule that runs getDashboardTopMemoryUsage safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tplink Omada, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For getDashboardTopMemoryUsage, this is the rule to start with:
getDashboardTopMemoryUsage is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Tplink Omada, apply this rule, and every getDashboardTopMemoryUsage call is checked against it from then on.
Questions about getDashboardTopMemoryUsage
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.
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