draft_update_placement · AdButler MCP: Risk & Policy

WHAT IT DOES

What draft_update_placement does on AdButler

AI agents use draft_update_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.

PARAMETERS

Parameter	Type	Required	Description
`id`	number	Yes	Draft placement ID
`draft`	object	—	Object containing placement fields to update

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why draft_update_placement needs a policy

The tool creates or modifies data (a draft placement) without permanently deleting or overwriting existing records. Since it operates on a 'draft' state, changes are reversible and the blast radius is limited to campaign configuration.

From the tool's definition Tool name contains 'update' and description states 'Update an existing draft placement' — this modifies data reversibly within AdButler's placement system.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

draft_update_placement Rate-limited

draft_update_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "draft_update_placement": {
      "limits": [
        {
          "counter": "draft_update_placement_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AdButler, so you can run agents against it safely.

FAQ

Questions about draft_update_placement

What does the draft_update_placement tool do? +

Update an existing 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.

What parameters does draft_update_placement accept? +

draft_update_placement accepts 2 parameters: id, draft. Required: id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on draft_update_placement? +

Register the AdButler MCP server in PolicyLayer and add a rule for draft_update_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.

What risk level is draft_update_placement? +

draft_update_placement is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit draft_update_placement? +

Yes. Add a rate_limit block to the draft_update_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.

How do I block draft_update_placement completely? +

Set action: deny in the PolicyLayer policy for draft_update_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.

What MCP server provides draft_update_placement? +

draft_update_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.