This record as markdown: /tools/adbutler/draft-create-placement.md
What draft_create_placement does on AdButler
AI agents use draft_create_placement 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 placement fields (zone, advertisement, etc.) |
campaign_draft_id | number | Yes | Draft campaign ID this placement belongs to |
Parameters from the server's own tool schema.
Why draft_create_placement is rated Medium
This tool creates a new placement resource in a reversible manner. The placement is in draft status, meaning it has not yet been deployed to production and can be modified or discarded without affecting live ad campaigns. This is a Write operation (creates data) rather than Execute (no code/command execution) or Destructive (reversible, can be edited or deleted).
From the tool's definition Tool name 'draft_create_placement' and description 'Create a new draft placement' indicate creation of a new resource within the AdButler ad management system.
Attacks that exploit this kind of access
The rule that runs draft_create_placement 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 draft_create_placement, this is the rule to start with:
draft_create_placement 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 draft_create_placement call is checked against it from then on.
Questions about draft_create_placement
Create a new draft placement. 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_placement 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_placement: 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_placement 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_placement 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_placement. 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_placement 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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