AI agents use remove_project_team_member to create or update resources in Filevine — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Filevine environment.
Removing a team member from a project modifies access/membership data. While potentially reversible (the member could be re-added using add_team_member_to_project), it changes project access controls and could disrupt legal case management workflows. Classified as Write rather than Destructive because the action is reversible via the sibling add_team_member_to_project tool.
From the tool's definition Remove a team member from a project
Attacks that exploit this kind of access
Remove a team member from a project. It is categorised as a Write tool in the Filevine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Filevine MCP server in PolicyLayer and add a rule for remove_project_team_member: 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.
remove_project_team_member is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the remove_project_team_member 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 remove_project_team_member. 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.
remove_project_team_member 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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