AI agents call delete_model to permanently remove resources in PyPSA MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deletion is an irreversible operation that cannot be undone. Once a PyPSA energy system model is deleted, all associated data and analysis results are permanently lost. This fits the Destructive category definition: 'irreversibly deletes or overwrites data, or actions that cannot be undone.' The severity is high because loss of complex energy system models could impact critical infrastructure planning or analysis…
From the tool's definition Tool name is 'delete_model' and description states 'Delete a PyPSA model by ID.' The word 'delete' is explicit and unambiguous.
Documented attack patterns abuse exactly the kind of access delete_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PyPSA MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_model:
{
"version": "1",
"default": "deny",
"hide": [
"delete_model"
]
}delete_model disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Delete a PyPSA model by ID. It is categorised as a Destructive tool in the PyPSA MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the PyPSA MCP server in PolicyLayer and add a rule for delete_model: 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 PyPSA MCP. Nothing to install.
delete_model 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_model 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_model. 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_model is provided by the PyPSA MCP server (open-energy-transition/pypsa-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 PyPSA MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
22 PyPSA MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.