Get all users (both cloud and local) in a grid/app view format.
AI agents call getAllUsersApp 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 queries and returns user information without side effects. It is a straightforward read operation that retrieves existing data in a formatted view. No data is created, modified, deleted, or executed. The blast radius is minimal—an AI agent misusing this to retrieve user lists poses only an information disclosure risk, not operational or financial damage.
From the tool's definition Tool name 'getAllUsersApp' and description 'Get all users (both cloud and local) in a grid/app view format' indicate a retrieval operation with no modification, deletion, or execution of external operations.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access getAllUsersApp 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 getAllUsersApp:
{
"version": "1",
"default": "deny",
"tools": {
"getAllUsersApp": {}
}
} getAllUsersApp is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all users (both cloud and local) in a grid/app view format. 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 getAllUsersApp: 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.
getAllUsersApp 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 getAllUsersApp 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 getAllUsersApp. 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.
getAllUsersApp 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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327 Tplink Omada tools catalogued and risk-classified — across an index of 43,000+ MCP servers.