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MaxGhenis

Google Ads MCP Server

by MaxGhenis

create_ad_group

Create an ad group with a specified CPC bid within a Google Ads campaign. Optionally set customer ID or validate with dry run.

Instructions

Create an ad group in a campaign.

Args: campaign_id: Campaign ID to add the ad group to name: Ad group name customer_id: Target customer ID (optional if set in config) cpc_bid_micros: Default CPC bid in micros (1,000,000 = $1.00). Default is $2.00. dry_run: If True, validate but don't execute

Returns: Result with success status, resource_name, and ad_group_id

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYes
nameYes
customer_idNo
cpc_bid_microsNo
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description bears full responsibility for behavior. It explains parameters, defaults, and the dry_run option for validation. However, it does not mention side effects, permissions, or error handling, which would improve transparency.

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 concise and well-structured, with a one-line summary, a bulleted Args list, and a Returns section. Every sentence provides necessary information without redundancy.

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

Completeness4/5

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

The description covers all 5 parameters and states the return value. It could mention prerequisites like campaign existence, but for a create operation with 2 required fields, it is sufficiently complete.

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

Parameters5/5

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

The input schema has 0% description coverage, so the description compensates fully. It explains each parameter, including units for cpc_bid_micros (e.g., '1,000,000 = $1.00') and default values, adding significant meaning beyond the schema's bare types and titles.

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 clearly states 'Create an ad group in a campaign', specifying the action (create) and the resource (ad group). This distinguishes it from sibling tools like create_campaign or create_responsive_search_ad, which target different entities.

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 explains what the tool does but does not provide explicit guidance on when to use it versus alternatives or when not to use it. The context of ad group creation is implied but not elaborated.

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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