Delete a location.
AI agents call delete_location to permanently remove resources in SmartThingsMCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deleting a location is a destructive operation that cannot be undone. It likely removes the location and associated configurations from the SmartThings system. This is more severe than Write (which is reversible) and qualifies as Destructive.
From the tool's definition Tool name is 'delete_location' with description 'Delete a location.' The verb 'delete' indicates irreversible removal of data.
Attacks that exploit this kind of access
Delete a location. It is categorised as a Destructive tool in the SmartThingsMCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the SmartThings MCP server in PolicyLayer and add a rule for delete_location: 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 SmartThingsMCP. Nothing to install.
delete_location is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_location 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 delete_location. 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.
delete_location is provided by the SmartThings MCP server (technohead/smartthings-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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