Removes a specific privilege from a security role, revoking the associated permissions. Use this to restrict access by removing specific operation permissions from a role.
AI agents call remove_privilege_from_role 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 privilege from a security role is an irreversible access control change that revokes permissions. While it can technically be re-added, the act of revoking security permissions has significant blast radius — it could immediately break access for all users assigned that role, disrupting operations.
From the tool's definition Removes a specific privilege from a security role, revoking the associated permissions
Documented attack patterns abuse exactly the kind of access remove_privilege_from_role 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_privilege_from_role:
{
"version": "1",
"default": "deny",
"hide": [
"remove_privilege_from_role"
]
} remove_privilege_from_role 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 specific privilege from a security role, revoking the associated permissions. Use this to restrict access by removing specific operation permissions from a role. 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_privilege_from_role: 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_privilege_from_role 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_privilege_from_role 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_privilege_from_role. 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_privilege_from_role 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.