create_user_db · AdButler MCP: Risk & Policy

WHAT IT DOES

What create_user_db does on AdButler

AI agents use create_user_db to create or update resources in AdButler — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AdButler environment.

PARAMETERS

Parameter	Type	Required	Description
`name`	string	—	User database name
`id_field_name`	string	—	Name of the field to use as primary user identifier

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why create_user_db needs a policy

This tool creates new data structures (a user database) but does not irreversibly destroy data or execute arbitrary operations. It is a write operation that modifies the system state by adding a new resource. Severity is medium because unauthorized database creation could impact system organization and storage, but the effect is contained and reversible.

From the tool's definition Tool name 'create_user_db' and description 'Create a new user database' indicate data creation. The action creates a new database structure for user data, which is reversible (can be deleted or dropped).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_user_db Rate-limited

create_user_db stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_user_db": {
      "limits": [
        {
          "counter": "create_user_db_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AdButler, so you can run agents against it safely.

FAQ

Questions about create_user_db

What does the create_user_db tool do? +

Create a new user database. It is categorised as a Write tool in the AdButler MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_user_db accept? +

create_user_db accepts 2 parameters: name, id_field_name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_user_db? +

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

What risk level is create_user_db? +

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

Can I rate-limit create_user_db? +

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

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

create_user_db is provided by the AdButler MCP server (adbutler/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.