Critical Risk →

remove_members_from_team

Removes users from team membership, revoking their access to team-owned records and team-based permissions. Use this when users no longer need team access or are changing roles.

How to control remove_members_from_team ↓

What remove_members_from_team does on Dataverse MCP Server

AI agents call remove_members_from_team 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.

Critical Risk

Why remove_members_from_team needs a policy

Removing team members revokes access permissions and is not easily reversible in terms of the cascading impact — users lose access to team-owned records and team-based permissions immediately. While technically a membership record deletion, the access revocation effect is effectively irreversible without explicit re-addition, and the blast radius is high as it can affect multiple users' access to enterprise data.

From the tool's definition Removes users from team membership, revoking their access to team-owned records and team-based permissions

Documented attack patterns abuse exactly the kind of access remove_members_from_team gives an agent:

How to control remove_members_from_team

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_members_from_team:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "remove_members_from_team"
  ]
}

remove_members_from_team disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Dataverse MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

Go deeper

Questions about remove_members_from_team

What does the remove_members_from_team tool do? +

Removes users from team membership, revoking their access to team-owned records and team-based permissions. Use this when users no longer need team access or are changing roles. 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.

How do I enforce a policy on remove_members_from_team? +

Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for remove_members_from_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 Dataverse MCP Server. Nothing to install.

What risk level is remove_members_from_team? +

remove_members_from_team is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit remove_members_from_team? +

Yes. Add a rate_limit block to the remove_members_from_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.

How do I block remove_members_from_team completely? +

Set action: deny in the PolicyLayer policy for remove_members_from_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.

What MCP server provides remove_members_from_team? +

remove_members_from_team 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.

Enforce policy on every Dataverse MCP Server tool call.

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.

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71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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