clerk.ban_users
Ban one or more Clerk users, preventing them from signing in. Call clerk.get_connected_accounts first. Pass clerk_instance_id to target a specific connection, or omit it to use the default account. Returns the updated user summaries and total count. Cost = 8 tokens.
This record as markdown: /tools/io-github-vee3io-vee3/clerk.ban-users.md
What clerk.ban_users does on Vee3
AI agents call clerk.ban_users to retrieve information from Vee3 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
user_ids | array | Yes | List of one or more Clerk user ids (user_...) to ban. |
clerk_instance_id | object | — | Clerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account. |
Parameters from the server's own tool schema.
Why clerk.ban_users is rated Low
Even though clerk.ban_users only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs clerk.ban_users safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Vee3, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For clerk.ban_users, this is the rule to start with:
clerk.ban_users is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Vee3, apply this rule, and every clerk.ban_users call is checked against it from then on.
Questions about clerk.ban_users
Ban one or more Clerk users, preventing them from signing in. Call clerk.get_connected_accounts first. Pass clerk_instance_id to target a specific connection, or omit it to use the default account. Returns the updated user summaries and total count. Cost = 8 tokens. It is categorised as a Read tool in the Vee3 MCP Server, which means it retrieves data without modifying state.
clerk.ban_users accepts 2 parameters: user_ids, clerk_instance_id. Required: user_ids. The full parameter table on this page comes from the server's own tool schema.
Register the Vee3 MCP server in PolicyLayer and add a rule for clerk.ban_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 Vee3. Nothing to install.
clerk.ban_users is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the clerk.ban_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.
Set action: deny in the PolicyLayer policy for clerk.ban_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.
clerk.ban_users is provided by the Vee3 MCP server (https://mcp.vee3.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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