AI agents call delete_submodel to permanently remove resources in Aas — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool performs irreversible deletion of a submodel—a core asset administration shell component. This cannot be undone and represents permanent data loss. While description is missing (reducing confidence slightly from critical), the explicit 'delete_' prefix, server's stated CRUD capability, and pattern of sibling destructive tools (delete_shell, delete_submodel_ref, delete_submodel_element) make this clearly…
From the tool's definition Tool name 'delete_submodel' combined with server description stating it enables 'full CRUD operations' including deletion via REST API.
Documented attack patterns abuse exactly the kind of access delete_submodel gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Aas, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_submodel:
{
"version": "1",
"default": "deny",
"hide": [
"delete_submodel"
]
}delete_submodel disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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delete_submodel. It is categorised as a Destructive tool in the Aas MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Aas MCP server in PolicyLayer and add a rule for delete_submodel: 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 Aas. Nothing to install.
delete_submodel 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_submodel 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_submodel. 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_submodel is provided by the Aas MCP server (smartfactory-kl/aas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Aas, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 Aas tools catalogued and risk-classified — across an index of 43,000+ MCP servers.