create_day_parting
Create a new day parting rule for time-of-day targeting. Ranges is an object with day names as keys and arrays of time range strings (e.g. "09:00:00-17:00:00") as values.
This record as markdown: /tools/adbutler/create-day-parting.md
What create_day_parting does on AdButler
AI agents use create_day_parting 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 |
|---|---|---|---|
name | string | — | Day parting name |
ranges | object | — | Object mapping day names (monday-sunday) to arrays of time ranges like "09:00:00-17:00:00" |
is_template | boolean | — | If true, shown in UI when creating/editing schedules |
use_member_timezone | boolean | — | If true, use account timezone; if false, use viewer timezone |
Parameters from the server's own tool schema.
Why create_day_parting is rated Medium
This tool creates a new targeting rule within an ad campaign system. Creating new configuration or rules is a Write operation, as it modifies data in a reversible manner. The severity is low because day parting rules are scheduling configuration that can be updated or removed without significant business impact, and they do not directly execute commands, move money, or delete data.
From the tool's definition create_day_parting is a tool that 'Create[s] a new day parting rule' - this is a reversible creation of configuration data (time-of-day targeting rules) rather than irreversible deletion or autonomous code execution.
Attacks that exploit this kind of access
The rule that runs create_day_parting 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_day_parting, this is the rule to start with:
create_day_parting 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.
The button opens the PolicyLayer dashboard: create your workspace, connect AdButler, apply this rule, and every create_day_parting call is checked against it from then on.
Questions about create_day_parting
Create a new day parting rule for time-of-day targeting. Ranges is an object with day names as keys and arrays of time range strings (e.g. "09:00:00-17:00:00") as values. 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.
create_day_parting accepts 4 parameters: name, ranges, is_template, use_member_timezone. 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 create_day_parting: 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.
create_day_parting is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_day_parting 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 create_day_parting. 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.
create_day_parting 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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