AI agents use update_geo_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 | Geo target ID |
name | string | — | Geo target name |
unit | string | — | Distance unit |
areas | array | — | Array of geographic areas |
range | number | — | Radius range |
inclusive | boolean | — | If true, target users IN these areas; if false, EXCLUDE |
Parameters from the server's own tool schema.
This tool creates or modifies data reversibly. It updates a geo target configuration, which is a changeable setting in an ad campaign that can be reverted or modified again. The context (AdButler ad campaign management) confirms this operates on campaign settings.
From the tool's definition Tool name 'update_geo_target' combined with description 'Update an existing geo target' explicitly indicates modification of existing data within the AdButler campaign management system.
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
Update an existing geo 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_geo_target accepts 6 parameters: id, name, unit, areas, range, 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_geo_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_geo_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_geo_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_geo_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_geo_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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