draft_save_campaign

Save/publish a draft campaign (converts draft to live campaign)

SERVERAdButler SOURCEadbutler/mcp-server

Medium RISK CLASS

Category Write

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adbutler/draft-save-campaign.md

WHAT IT DOES

What draft_save_campaign does on AdButler

AI agents use draft_save_campaign 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 campaign ID

Parameters from the server's own tool schema.

RISK

Why draft_save_campaign is rated Medium

This tool creates or modifies data (campaign publication) but does not irreversibly delete data, execute arbitrary code, or move money. It is reversible through archival tools visible on the same server (archive_campaign).

From the tool's definition Tool description states 'Save/publish a draft campaign (converts draft to live campaign)' - this modifies campaign state from draft to live, a reversible state change that creates/activates data in the AdButler system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs draft_save_campaign 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_save_campaign, this is the rule to start with:

draft_save_campaign Rate-limited

draft_save_campaign 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_save_campaign": {
      "limits": [
        {
          "counter": "draft_save_campaign_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AdButler, apply this rule, and every draft_save_campaign call is checked against it from then on.

FAQ

Questions about draft_save_campaign

What does the draft_save_campaign tool do? +

Save/publish a draft campaign (converts draft to live campaign). 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_save_campaign accept? +

draft_save_campaign accepts 1 parameter: id. 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_save_campaign? +

Register the AdButler MCP server in PolicyLayer and add a rule for draft_save_campaign: 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_save_campaign? +

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

Can I rate-limit draft_save_campaign? +

Yes. Add a rate_limit block to the draft_save_campaign 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_save_campaign completely? +

Set action: deny in the PolicyLayer policy for draft_save_campaign. 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_save_campaign? +

draft_save_campaign 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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