Audiences attached to campaigns with targeting setting (observation vs targeting) and bid modifier. Shows both inclusion and exclusion lists.
AI agents call gads_campaign_audience_targeting to retrieve information from Google Ads without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays audience targeting configuration data (inclusion/exclusion lists, targeting settings, bid modifiers) attached to campaigns. It performs a read-only query with no side effects, no data modification, no code execution, and no irreversible actions. The verb 'shows' confirms passive retrieval rather than active modification.
From the tool's definition Tool name indicates 'audience_targeting' retrieval; description states 'Shows both inclusion and exclusion lists' with targeting settings and bid modifiers — purely informational queries about existing campaign configurations with no modification, deletion,…
Attacks that exploit this kind of access
Audiences attached to campaigns with targeting setting (observation vs targeting) and bid modifier. Shows both inclusion and exclusion lists. It is categorised as a Read tool in the Google Ads MCP Server, which means it retrieves data without modifying state.
Register the Google Ads MCP server in PolicyLayer and add a rule for gads_campaign_audience_targeting: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Google Ads. Nothing to install.
gads_campaign_audience_targeting is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the gads_campaign_audience_targeting rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for gads_campaign_audience_targeting. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
gads_campaign_audience_targeting is provided by the Google Ads MCP server (zleventer/google-ads-mcp-npm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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