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johnoconnor0

Google Ads MCP Server

by johnoconnor0

google_ads_set_audience_signals

Set audience signals and search themes to guide Google's AI in targeting the right customers and relevant topics for Performance Max asset groups.

Instructions

Configure audience signals and search themes for a Performance Max asset group.

Search themes tell Google's AI what topics/keywords are relevant. Audience signals help Google's AI understand who your ideal customers are. Both are optional - provide whichever you need.

Args: customer_id: Google Ads customer ID (10 digits, no hyphens) asset_group_id: Asset group ID search_themes: List of search theme strings (max 25 per asset group) audience_segments: List of audience resource names

Example: google_ads_set_audience_signals( customer_id="1234567890", asset_group_id="12345678", search_themes=["escape room brisbane", "things to do brisbane"], audience_segments=["customers/1234567890/userLists/123"] )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
asset_group_idYes
search_themesNo
audience_segmentsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It states 'configure' but does not specify whether the tool overwrites existing signals, what permissions are required, or any side effects. The lack of detail on mutation behavior is a significant gap.

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 well-structured with a summary, parameter explanations, and an example. It is not excessively long, though the 'Args:' section could be slightly more concise. Overall, it is efficient and 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?

Given the tool's complexity (4 parameters, 2 required) and the presence of an output schema, the description is complete. It explains all parameters, provides usage context, and includes an example. No further information is necessary for correct invocation.

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 description coverage, the description adds essential meaning. It explains search_themes as 'List of search theme strings (max 25 per asset group)' and customer_id format ('10 digits, no hyphens'). This goes well beyond the bare schema types.

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's purpose: 'Configure audience signals and search themes for a Performance Max asset group.' It distinguishes itself from sibling tools like google_ads_add_audience_to_ad_group and google_ads_add_audience_to_campaign by focusing specifically on PMax asset groups, which is a distinct use case.

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?

The description provides clear context: it explains that both search themes and audience signals are optional, and gives examples. However, it does not explicitly state when not to use this tool or mention alternatives, which would make it more definitive.

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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