AI agents use draft_create_catalog_ad_item 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
draft | object | Yes | Object containing catalog ad item fields (name required) |
campaign_draft_id | number | Yes | Draft campaign ID this ad item belongs to |
Parameters from the server's own tool schema.
This is a Write operation because it creates new data (a catalog ad item) in a reversible manner. The use of 'draft' suggests the item is in a preliminary state and can likely be modified or deleted.
From the tool's definition The tool is named 'draft_create_catalog_ad_item' and its description states it will 'Create a new draft catalog ad item'. This creates a new advertising item in the catalog system.
Attacks that exploit this kind of access
Create a new draft catalog ad item. 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.
draft_create_catalog_ad_item accepts 2 parameters: draft, campaign_draft_id. Required: draft, campaign_draft_id. The full parameter table on this page comes from the server's own tool schema.
Register the AdButler MCP server in PolicyLayer and add a rule for draft_create_catalog_ad_item: 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.
draft_create_catalog_ad_item is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the draft_create_catalog_ad_item 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 draft_create_catalog_ad_item. 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.
draft_create_catalog_ad_item 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →