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google_ads_conversions_list

List all Google Ads conversion actions to obtain conversion_action_id values for use in get, update, remove, or tag operations. Returns ID, name, type, status, and category for each action.

Instructions

List every conversion action configured on the Google Ads customer, ordered by numeric id. Returns [{id (string), name, type (ConversionActionType enum string, e.g. 'WEBPAGE'), status ('ENABLED'|'HIDDEN'|'REMOVED'|'UNSPECIFIED'|'UNKNOWN'), category (enum string, e.g. 'PURCHASE', 'SIGNUP')}]. Read-only. Use this to discover conversion_action_id values before calling .get, .update, .remove, or .tag. For CV performance metrics use google_ads_conversions_performance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idNoGoogle Ads customer ID as a 10-digit string without dashes (e.g. '1234567890'). Optional — falls back to GOOGLE_ADS_CUSTOMER_ID / GOOGLE_ADS_LOGIN_CUSTOMER_ID from the configured credentials when omitted.
Behavior4/5

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

With no annotations provided, the description carries the full burden. It states 'Read-only' and notes ordering by numeric id. Could mention if pagination exists (likely full list) but adequate for a read-only list tool.

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?

Three sentences, no wasted words. First sentence states core operation, second gives return structure, third gives usage guidance. Front-loaded and efficient.

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?

Although no output schema, the description provides the full return structure with types and enums. Covers use case, prerequisites, and sibling reference. Complete for a list tool.

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

Parameters4/5

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

Schema has 1 parameter with 100% description coverage. Description adds value by explaining the parameter is optional and falls back to credentials.

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 lists every conversion action configured on the Google Ads customer, ordered by numeric id, and specifies the return format (id, name, type, status, category). It distinguishes itself from siblings like google_ads_conversions_get and google_ads_conversions_performance.

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?

Explicitly says 'Use this to discover conversion_action_id values before calling .get, .update, .remove, or .tag.' Also directs to google_ads_conversions_performance for metrics, providing clear when-to-use and alternative guidance.

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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