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johnoconnor0

Google Ads MCP Server

by johnoconnor0

google_ads_create_conversion_action

Create a Google Ads conversion action to track and attribute conversions from clicks or views. Set category, origin, default value, and attribution windows.

Instructions

Create a conversion action for tracking.

Args: customer_id: Customer ID (without hyphens) conversion_name: Name for the conversion (e.g., "Purchase", "Lead Form") category: Conversion category (PURCHASE, SIGNUP, LEAD, etc.) origin: Where conversions occur (WEBSITE, APP, CALL_FROM_ADS, IMPORT) value: Optional default conversion value always_use_default_value: If True, always use default value (ignore transaction-specific values) count_type: ONE (count once per click) or MANY (count every conversion) click_lookback_days: Attribution window for clicks (1-90 days) view_lookback_days: Attribution window for views (1-30 days)

Returns: Success message with conversion action ID and tag snippet

Example: google_ads_create_conversion_action( customer_id="1234567890", conversion_name="Purchase", category="PURCHASE", origin="WEBSITE", value=50.00, count_type="ONE" )

Categories: PURCHASE, SIGNUP, LEAD, DOWNLOAD, ADD_TO_CART, BEGIN_CHECKOUT, PHONE_CALL_LEAD, SUBMIT_LEAD_FORM, BOOK_APPOINTMENT, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
conversion_nameYes
categoryYes
originYes
valueNo
always_use_default_valueNo
count_typeNoONE
click_lookback_daysNo
view_lookback_daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description discloses the write operation and return of a success message with conversion action ID and tag snippet, but does not mention permissions, rate limits, or idempotency. With no annotations, this is moderately transparent.

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

Conciseness4/5

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

The description is structured with Args, Returns, and Example sections, making it easy to parse. Though lengthy due to 9 parameters, it is appropriate and not unnecessarily verbose.

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?

Given the complexity and presence of an output schema, the description covers all inputs and return value adequately. It lacks error handling or prerequisite details but is otherwise 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?

With 0% schema coverage, the description compensates fully by explaining every parameter in detail, including constraints (e.g., 'without hyphens' for customer_id, lookback windows) and examples. This adds significant meaning beyond the schema.

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

Purpose4/5

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

The description clearly states the function 'Create a conversion action for tracking' and lists all parameters. It implicitly distinguishes from siblings like update and list by using 'create', but lacks explicit differentiation.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The description does not mention when to use vs update or other creation tools, relying on the name alone.

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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