This record as markdown: /tools/adbutler/get-day-parting.md
What get_day_parting does on AdButler
AI agents call get_day_parting 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 |
|---|---|---|---|
id | number | Yes | Day parting ID |
Parameters from the server's own tool schema.
Why get_day_parting is rated Low
This tool retrieves configuration details about a day parting rule (a scheduling rule that controls when ads display). It performs a read-only query operation, has no ability to modify, delete, or execute external actions, and presents minimal risk if misused by an AI agent.
From the tool's definition Tool name 'get_day_parting' and description 'Get details of a specific day parting rule' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs get_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 get_day_parting, this is the rule to start with:
get_day_parting 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 get_day_parting call is checked against it from then on.
Questions about get_day_parting
Get details of a specific day parting rule. It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.
get_day_parting accepts 1 parameter: id. Required: id. 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 get_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.
get_day_parting 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 get_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 get_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.
get_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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