Medium Risk

manage_auth_users

Manage end-user auth records for an app. Actions: - "list": Paginated list of app_users (id, email, provider, provider_uid, email_verified, last_sign_in_at, created_at). Pass the next_cursor from a prior response to page. - "delete": Hard-delete an app user by id. Cascades to refresh tokens and v...

Part of the Mcp server.

manage_auth_users can modify Mcp data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use manage_auth_users to create or modify resources in Mcp. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call manage_auth_users repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mcp.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_auth_users": {
      "limits": [
        {
          "counter": "manage_auth_users_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access manage_auth_users gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so manage_auth_users only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the manage_auth_users tool do? +

Manage end-user auth records for an app. Actions: - "list": Paginated list of app_users (id, email, provider, provider_uid, email_verified, last_sign_in_at, created_at). Pass the next_cursor from a prior response to page. - "delete": Hard-delete an app user by id. Cascades to refresh tokens and verification codes. Use this to unblock OAuth migrations when an existing email/password row collides. Parameters by action: list: { app_id, action: "list", limit?, cursor? } delete: { app_id, action: "delete", user_id } Tips: - Looking for a user by email? Call list and filter client-side; this tool does not search by email. - To switch a user from email/password to Google OAuth without deleting, just have them sign in with Google — the OAuth callback now links the existing email row in place automatically.. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_auth_users? +

Register the MCP server in PolicyLayer and add a rule for manage_auth_users: 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 Mcp. Nothing to install.

What risk level is manage_auth_users? +

manage_auth_users is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit manage_auth_users? +

Yes. Add a rate_limit block to the manage_auth_users 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 manage_auth_users completely? +

Set action: deny in the PolicyLayer policy for manage_auth_users. 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 manage_auth_users? +

manage_auth_users is provided by the MCP server (@butterbase/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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