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google_ads_callouts_list

Audit callout extensions in a Google Ads campaign by listing their IDs and text. Use to check coverage before adding or removing callouts.

Instructions

List callout extension assets linked to a Google Ads campaign. Returns [{id, resource_name, callout_text}]. Unlike google_ads_sitelinks_list, this only scans campaign_asset rows (no account-level merge). Read-only. Use this to audit coverage before calling google_ads_callouts_create (hardcoded limit: 20 callouts per campaign) or google_ads_callouts_remove.

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.
campaign_idYesCampaign ID as a numeric string without dashes (e.g. '23743184133'). Obtain via google_ads_campaigns_list.
Behavior4/5

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

The description declares the tool as read-only and specifies the scanning scope (only campaign_asset rows), but lacks details on rate limits, authentication, or potential performance impacts. With no annotations, the description carries the full burden and is mostly sufficient.

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?

Two sentences efficiently convey the tool's purpose, return format, sibling distinction, and usage context. No extraneous information, optimally 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?

Despite lacking an output schema, the description fully explains the return format, provides comparison to a sibling, and advises on use cases and constraints, making the definition complete for an agent.

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 input schema covers 100% of parameters with descriptions. The description does not add additional parameter meaning beyond what the schema provides, meeting the baseline of 3.

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 callout extension assets for a campaign, and explicitly distinguishes it from the sibling google_ads_sitelinks_list by noting it only scans campaign_asset rows without account-level merge.

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 advises to use this tool for auditing coverage before calling create or remove, and mentions the hardcoded limit of 20 callouts per campaign, providing clear context for when to invoke it.

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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