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adbutler

AdButler MCP Server

Official
by adbutler

create_day_parting

Create a day parting rule to schedule ad delivery for specific days and time ranges, enabling precise time-of-day targeting.

Instructions

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoDay parting name
rangesNoObject mapping day names (monday-sunday) to arrays of time ranges like "09:00:00-17:00:00"
is_templateNoIf true, shown in UI when creating/editing schedules
use_member_timezoneNoIf true, use account timezone; if false, use viewer timezone
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry full behavioral transparency. It only states 'Create,' which implies mutation, but does not disclose side effects, permissions, reversibility, or what the response contains. The added explanation of ranges format is parameter semantics rather than behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the purpose, and includes only relevant details. No fluff or repetition, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is a straightforward create operation with all 4 parameters fully documented in the schema. However, without an output schema, the description does not mention return values or success behavior. It also lacks any usage prerequisites or side-effect disclosures, making it adequate but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds an example for ranges ('09:00:00-17:00:00') which is helpful but largely redundant with the schema. It does not add significant meaning beyond the schema for the other three parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Create a new day parting rule for time-of-day targeting,' which uses a specific verb and resource. It clearly distinguishes from sibling tools like update_day_parting, list_day_partings, and delete_day_parting by focusing on creation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for creating a new day parting rule, but does not explicitly state when to use it versus alternatives (e.g., update_day_parting for modifications). No when-not-to-use guidance is provided, but the intent is clear from the verb 'Create'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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