create_list_target
Create a new list target (inclusion/exclusion using a data list)
This record as markdown: /tools/adbutler/create-list-target.md
What create_list_target does on AdButler
AI agents use create_list_target 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 |
|---|---|---|---|
label | string | Yes | List target name |
data_list | number | — | Data list ID containing the values to target |
inclusive | boolean | — | If true, inclusion target; if false, exclusion target |
Parameters from the server's own tool schema.
Why create_list_target is rated Medium
This tool creates a new targeting configuration that is reversible and modifiable. While it modifies ad campaign targeting logic, the creation itself does not execute external operations, process payments, or irreversibly destroy data.
From the tool's definition Tool name 'create_list_target' and description 'Create a new list target' indicate this action creates new data (a targeting list configuration) within the AdButler ad management system.
Attacks that exploit this kind of access
The rule that runs create_list_target safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AdButler, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_list_target, this is the rule to start with:
create_list_target 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.
The button opens the PolicyLayer dashboard: create your workspace, connect AdButler, apply this rule, and every create_list_target call is checked against it from then on.
Questions about create_list_target
Create a new list target (inclusion/exclusion using a data list). 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.
create_list_target accepts 3 parameters: label, data_list, inclusive. Required: label. 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 create_list_target: 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.
create_list_target 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 create_list_target 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 create_list_target. 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.
create_list_target 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.
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