Skip to main content
Glama
kLOsk

Google Ads - AdLoop

by kLOsk

Draft a conversion action

draft_create_conversion_action

Draft a Google Ads conversion action and preview its settings before applying. Specify type, category, and default value, then confirm the plan to execute.

Instructions

Draft a new Google Ads ConversionAction — returns a PREVIEW.

type_: AD_CALL, WEBSITE_CALL, WEBPAGE, WEBPAGE_CODELESS, GOOGLE_ANALYTICS_4_CUSTOM, etc. category: PHONE_CALL_LEAD, SUBMIT_LEAD_FORM, PURCHASE, ... (default DEFAULT).

A positive default_value with always_use_default_value=False is a legal "fallback" config — the preview warns but does NOT flip the flag. include_in_conversions_metric is IMMUTABLE on create (change it later via draft_update_conversion_action). Call confirm_and_apply with the returned plan_id to execute.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
type_Yes
categoryNoDEFAULT
customer_idNo
counting_typeNoONE_PER_CLICK
currency_codeNoUSD
default_valueNo
primary_for_goalNo
attribution_modelNo
always_use_default_valueNo
view_through_window_daysNo
click_through_window_daysNo
phone_call_duration_secondsNo
include_in_conversions_metricNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.13.3

TDQS

A4.5/5.0
Behavior5/5

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

The description transparently explains that the action returns a preview and does not apply until confirmed, aligning with the annotations (readOnlyHint=false, destructiveHint=false). It also details the fallback behavior for default_value and the immutability flag, disclosing the tool's operational nuances without contradicting annotations.

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 concise and well-structured, using line breaks to separate distinct concepts. It avoids unnecessary verbosity, though the repeated 'legal fallback' phrase adds slight redundancy. Overall, it is efficient and readable.

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 the tool's purpose, return behavior (preview with plan_id), and next steps (confirm_and_apply), which is sufficient for a draft operation. It does not explain every parameter, but that gap is partially addressed in parameter semantics. Given the availability of an output schema (not shown), the description adequately contextualizes the workflow.

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?

The description provides meaningful explanations for several key parameters (type_, category, default_value, always_use_default_value, include_in_conversions_metric) but leaves others (counting_type, currency_code, primary_for_goal, attribution_model, windows, phone duration) undefined. Since schema coverage is 0%, the description partially compensates but not fully, warranting a moderate score.

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 'Draft a new Google Ads ConversionAction — returns a PREVIEW,' identifying the specific action and its preview nature. It distinguishes from sibling tools like draft_update_conversion_action and draft_remove_conversion_action, making the purpose unambiguous.

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

Usage Guidelines5/5

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

The description explicitly instructs to 'Call confirm_and_apply with the returned plan_id to execute,' providing a clear next step. It also notes that include_in_conversions_metric is immutable on create and suggests using draft_update_conversion_action for changes, guiding appropriate usage among siblings.

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

Deploy Server

Other Tools