Close (archive) a model. Requires workspace admin. Must be closed before bulk_delete_models.
AI agents call close_model to permanently remove resources in Anaplan MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Archiving/closing a model is a prerequisite to permanent deletion and is itself an irreversible administrative action that disables the model. The direct pipeline to bulk_delete_models makes this effectively a destructive operation with high blast radius if misused.
From the tool's definition Close (archive) a model. Must be closed before bulk_delete_models.
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access close_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Anaplan MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for close_model:
{
"version": "1",
"default": "deny",
"hide": [
"close_model"
]
} close_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.
Close (archive) a model. Requires workspace admin. Must be closed before bulk_delete_models. It is categorised as a Destructive tool in the Anaplan MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Anaplan MCP server in PolicyLayer and add a rule for close_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 Anaplan MCP. Nothing to install.
close_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 close_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 close_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.
close_model is provided by the Anaplan MCP server (larasrinath/anaplan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Anaplan MCP, 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.
70 Anaplan MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.