AI agents call draft_list_campaign_assignments to retrieve information from AdButler without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | Max results to return (default 100, max 100) |
offset | number | — | Pagination offset |
Parameters from the server's own tool schema.
This tool performs a query operation to enumerate draft campaign assignments. It has no side effects—it does not create, modify, delete, or execute anything. The verb 'list' combined with the passive description establishes this as a Read category tool. Severity is low because querying campaign assignment data poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name and description indicate a read-only operation: 'List all draft campaign assignments' retrieves or queries data without modification.
Attacks that exploit this kind of access
List all draft campaign assignments. It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.
draft_list_campaign_assignments accepts 2 parameters: limit, offset. 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_list_campaign_assignments: 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_list_campaign_assignments is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the draft_list_campaign_assignments 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_list_campaign_assignments. 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_list_campaign_assignments 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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