AI agents call list_scenes to retrieve information from 米家 MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries scene data without modifying, deleting, or executing anything. It is a straightforward read operation that returns information about available scenes. The low severity reflects minimal risk even if misused by an AI agent, as listing scenes cannot cause harm or unintended state changes in the smart home system.
From the tool's definition Tool name is 'list_scenes' and description states 'List scenes globally or within a specific home' - purely a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_scenes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and 米家 MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_scenes:
{
"version": "1",
"default": "deny",
"tools": {
"list_scenes": {}
}
}list_scenes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
List scenes globally or within a specific home. It is categorised as a Read tool in the 米家 MCP Server MCP Server, which means it retrieves data without modifying state.
Register the 米家 MCP Server MCP server in PolicyLayer and add a rule for list_scenes: 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 米家 MCP Server. Nothing to install.
list_scenes 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 list_scenes 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 list_scenes. 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.
list_scenes is provided by the 米家 MCP Server MCP server (javen-yan/miot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from 米家 MCP Server, 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.
26 米家 MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.