AI agents use draft_update_custom_html_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 |
|---|---|---|---|
id | number | Yes | Draft ad item ID |
draft | object | — | Object containing custom HTML ad item fields to update |
Parameters from the server's own tool schema.
The tool modifies an existing ad item (a draft), which is a reversible write operation. It does not execute arbitrary code, delete data, or move money. The medium severity reflects that modifying ad campaign content could affect business operations, but the impact is limited to a single draft item and is reversible via subsequent updates.
From the tool's definition Tool name contains 'update' and description states 'Update an existing draft custom HTML ad item', indicating modification of existing data.
Attacks that exploit this kind of access
Update an existing draft custom HTML 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_update_custom_html_ad_item accepts 2 parameters: id, draft. 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 draft_update_custom_html_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_update_custom_html_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_update_custom_html_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_update_custom_html_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_update_custom_html_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.
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