Get user role profiles from the controller, listing defined roles with associated permissions for administrator accounts.
AI agents call getUserRoleProfile 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 role profile data without modifying, deleting, or executing operations. It performs informational retrieval about existing role configurations. The severity is low as misuse would only expose configuration metadata already within the controller, with no destructive or operational consequences. High confidence due to clear read-only semantics in both name and description.
From the tool's definition Tool name includes 'Get' and description states 'listing defined roles with associated permissions' — retrieval operations with no side effects.
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access getUserRoleProfile 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 getUserRoleProfile:
{
"version": "1",
"default": "deny",
"tools": {
"getUserRoleProfile": {}
}
}getUserRoleProfile is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get user role profiles from the controller, listing defined roles with associated permissions for administrator accounts. 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 getUserRoleProfile: 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.
getUserRoleProfile 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 getUserRoleProfile 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 getUserRoleProfile. 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.
getUserRoleProfile 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.