create_schedule

Create a new schedule for time-based ad delivery. Schedules are automatically linked to ad items via placements.

SERVERAdButler SOURCEadbutler/mcp-server

Medium RISK CLASS

Category Write

Parameters 120 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adbutler/create-schedule.md

WHAT IT DOES

What create_schedule does on AdButler

AI agents use create_schedule 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
`end_at`	string	—	End date/time in ISO-8601 format, null for indefinite
`end_date`	string	—	End date (YYYY-MM-DD HH:MM:SS), null for indefinite — deprecated, use end_at
`start_at`	string	—	Start date/time in ISO-8601 format
`quota_type`	string	—	Quota measurement type
`start_date`	string	—	Start date (YYYY-MM-DD HH:MM:SS) — deprecated, use start_at
`day_cap_type`	string	—	Daily cap type
`day_cap_limit`	number	—	Daily cap limit (number of views or clicks per day)
`day_parting_id`	number	—	Day parting ID for time-of-day targeting
`quota_lifetime`	number	—	Total quota amount (views or clicks, not per thousand)
`delivery_method`	string	—	Delivery pacing: "default" (ASAP) or "smooth" (evenly distributed)
`end_at_timezone`	string	—	IANA timezone for end_at
`start_at_timezone`	string	—	IANA timezone for start_at (e.g. "America/New_York")

Parameters from the server's own tool schema.

RISK

Why create_schedule is rated Medium

This tool creates new schedule records in the AdButler system, which is a write operation. While it modifies ad delivery behavior, the action is reversible (schedules can be edited or deleted). It does not delete data (Destructive), execute arbitrary code (Execute), involve financial transactions (Financial), or trigger irreversible side effects.

From the tool's definition Tool name 'create_schedule' and description 'Create a new schedule' indicate creation of new data. The description specifies this creates scheduling rules for ad delivery that are 'automatically linked to ad items via placements', representing a reversible…

Risk signalsHigh parameter count (15 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

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

create_schedule Rate-limited

create_schedule 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": {
    "create_schedule": {
      "limits": [
        {
          "counter": "create_schedule_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 create_schedule call is checked against it from then on.

FAQ

Questions about create_schedule

What does the create_schedule tool do? +

Create a new schedule for time-based ad delivery. Schedules are automatically linked to ad items via placements. 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 create_schedule accept? +

create_schedule accepts 12 parameters: end_at, end_date, start_at, quota_type, start_date, day_cap_type, day_cap_limit, day_parting_id, quota_lifetime, delivery_method, end_at_timezone, start_at_timezone. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_schedule? +

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

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

Can I rate-limit create_schedule? +

Yes. Add a rate_limit block to the create_schedule 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 create_schedule completely? +

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

create_schedule 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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