list_day_partings
List all day parting rules (time-of-day targeting)
This record as markdown: /tools/adbutler/list-day-partings.md
What list_day_partings does on AdButler
AI agents call list_day_partings to retrieve information from AdButler without modifying anything. It is 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.
Why list_day_partings is rated Low
This tool retrieves existing day parting rules configuration data from AdButler without creating, modifying, or deleting anything. It is purely informational and has no side effects on the advertising system.
From the tool's definition Tool name contains 'list' and description states 'List all day parting rules' — a retrieval operation with no modification capability.
Attacks that exploit this kind of access
The rule that runs list_day_partings 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 list_day_partings, this is the rule to start with:
list_day_partings is read-only, so it stays allowed. 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 list_day_partings call is checked against it from then on.
Questions about list_day_partings
List all day parting rules (time-of-day targeting). It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.
list_day_partings 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 list_day_partings: 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.
list_day_partings 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 list_day_partings 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 list_day_partings. 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.
list_day_partings 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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