AI agents use update_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 |
|---|---|---|---|
id | number | Yes | List target ID |
label | string | — | List target name |
data_list | number | — | Data list ID |
inclusive | boolean | — | If true, inclusion; if false, exclusion |
Parameters from the server's own tool schema.
The 'update' verb explicitly indicates reversible modification of existing data (a list target record), which falls under the Write category. Severity is medium because updates to advertising targeting lists could affect campaign behavior and ad delivery, but the change is reversible and limited to one target record unless batched.
From the tool's definition Tool name 'update_list_target' and description 'Update an existing list target' indicate modification of data. The sibling tools include archive operations and bulk uploads, suggesting this server manages advertising campaign data structures.
Attacks that exploit this kind of access
Update an existing list target. 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.
update_list_target accepts 4 parameters: id, label, data_list, inclusive. Required: 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 update_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.
update_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 update_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 update_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.
update_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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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