AI agents call draft_list_schedules 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 queries and retrieves existing draft schedule data without creating, modifying, deleting, or executing any actions. It is a straightforward read operation with minimal risk if misused by an AI agent.
From the tool's definition Tool name contains 'List' and description states 'List all draft schedules' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
List all draft schedules. It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.
draft_list_schedules 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_schedules: 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_schedules 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_schedules 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_schedules. 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_schedules 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.
Teams ship this data inside their own products. See what a licence covers →