Delete a team.
AI agents call delete_team to permanently remove resources in Filevine — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deleting a team is a destructive operation that cannot be undone and will remove team membership, permissions, and potentially associated collaborative data from the legal case management system. This affects multiple users and their access to cases/projects. High severity due to organizational impact and irreversibility.
From the tool's definition Tool name is 'delete_team' with description 'Delete a team.' The verb 'delete' explicitly indicates irreversible removal of data.
Attacks that exploit this kind of access
Delete a team. It is categorised as a Destructive tool in the Filevine MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Filevine MCP server in PolicyLayer and add a rule for delete_team: 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 Filevine. Nothing to install.
delete_team 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_team 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_team. 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_team is provided by the Filevine MCP server (rosenadvertising/filevine-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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