Removes a security role assignment from a specific user, revoking the permissions granted by that role. Use this when users change roles or no longer need certain access levels.
AI agents call remove_role_from_user to permanently remove resources in Dataverse MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing a security role from a user is an irreversible access-control change (until manually re-assigned) that revokes permissions. This is effectively a destructive operation on an authorization record — it cannot auto-recover and could immediately lock a user out of critical resources. Severity is high because misuse by an AI agent could disrupt user access across enterprise Dataverse environments.
From the tool's definition Removes a security role assignment from a specific user, revoking the permissions granted by that role
Documented attack patterns abuse exactly the kind of access remove_role_from_user gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Dataverse MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for remove_role_from_user:
{
"version": "1",
"default": "deny",
"hide": [
"remove_role_from_user"
]
} remove_role_from_user 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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Removes a security role assignment from a specific user, revoking the permissions granted by that role. Use this when users change roles or no longer need certain access levels. It is categorised as a Destructive tool in the Dataverse MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for remove_role_from_user: 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 Dataverse MCP Server. Nothing to install.
remove_role_from_user 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 remove_role_from_user 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_role_from_user. 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_role_from_user is provided by the Dataverse MCP Server MCP server (mwhesse/dataverse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Dataverse MCP Server, 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.
71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.