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google_ads_location_targeting_list

Lists every location campaign criterion on a Google Ads campaign, returning criterion IDs, geo target constant paths, and bid modifiers. Enables auditing of location targeting.

Instructions

List every LOCATION campaign_criterion on a Google Ads campaign. Returns [{criterion_id, geo_target_constant (resource path, e.g. 'geoTargetConstants/2392' for Japan), bid_modifier (float or null)}]. Read-only. Geo target constant IDs map to countries/regions/cities — look up via Google's GeoTargetConstantService. For adding or removing locations use google_ads_location_targeting_update; for schedule-based targeting use google_ads_schedule_targeting_list.

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?

No annotations provided, so description carries the burden. It declares 'Read-only', which is key behavioral information, and describes the return format. It does not mention rate limits or authentication, but for a read-only list operation this is acceptable.

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 a single well-structured paragraph that front-loads the primary action. Every sentence adds value without repetition or wasted words.

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 no output schema, the description provides the return format and read-only behavior. It also guides to sibling tools. It is complete for a list tool, though it could mention pagination or limits, but that is not essential.

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 description coverage is 100%, so the schema already documents both parameters. The description adds value by noting customer_id optionality with fallback and campaign_id acquisition via another tool, going beyond schema basics.

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?

Description clearly states 'List every LOCATION campaign_criterion on a Google Ads campaign' and specifies the return format. It distinguishes from sibling tools by naming alternatives for adding/removing locations and schedule-based targeting.

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?

Description explicitly says 'Read-only' and tells when to use this tool (listing). It provides alternatives for adding/removing (google_ads_location_targeting_update) and scheduling (google_ads_schedule_targeting_list). However, it does not explicitly state when not to use it, but the context is clear.

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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