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johnoconnor0

Google Ads MCP Server

by johnoconnor0

google_ads_create_user_list

Create remarketing audiences in Google Ads using CRM data or website URL rules to target specific user groups.

Instructions

Create a remarketing user list (audience).

User lists allow you to target specific groups of users based on their interactions with your business. Types include:

  • CRMBASED: Customer Match lists (email, phone, address)

  • RULE_BASED: Website visitors matching URL patterns

Args: customer_id: Customer ID (without hyphens) list_name: Name for the user list (e.g., "Newsletter Subscribers") description: Optional description membership_days: How long users stay in the list (1-540 days, default: 540) list_type: Type of list (CRMBASED or RULE_BASED) url_contains: For RULE_BASED lists, URL patterns to match (OR logic). e.g. ["arcadium.com.au"] or ["/escape-rooms", "/pricing"]

Returns: Success message with user list ID

Example: google_ads_create_user_list( customer_id="1234567890", list_name="All Site Visitors", description="All visitors to our website", membership_days=90, list_type="RULE_BASED", url_contains=["example.com"] )

Note: RULE_BASED lists require remarketing tags on your website/app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
list_nameYes
descriptionNo
membership_daysNo
list_typeNoCRMBASED
url_containsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations exist, so the description must cover behavioral traits. It details the creation operation, URL pattern logic, membership duration range, and a prerequisite. It does not mention permissions or rate limits, but provides key constraints.

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 well-structured: purpose, types, args with details, return info, example, and note. Every sentence adds value without redundancy, and key information is front-loaded.

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

Completeness5/5

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

Given the output schema exists, the description appropriately includes return details ('Success message with user list ID'). All parameters are covered, and the note about remarketing tags addresses prerequisites. The example enhances completeness.

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?

Schema description coverage is 0%, but the tool's description compensates fully. Every parameter is explained with examples, defaults, and format requirements (e.g., customer_id without hyphens, url_contains OR logic). An example call further clarifies usage.

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 the tool's purpose ('Create a remarketing user list'), lists types like CRMBASED and RULE_BASED, and provides an example. It distinguishes from sibling tools focused on listing or uploading audiences.

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

Usage Guidelines4/5

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

The description explains when to use each list type and includes a note about RULE_BASED lists requiring remarketing tags. However, it does not explicitly compare with sibling tools like google_ads_upload_customer_match or google_ads_add_audience_to_ad_group.

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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