List ads from Google Ads Transparency Center by company domain or advertiser ID. Returns ad format, images, dates, and domain. Set get_ad_details: true for full creative text (costs 25 credits). Use resolve-company first to find the domain or advertiser_id.
AI agents call google-search-ads to retrieve information from Ad Library MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves publicly available ad data from Google Ads Transparency Center. It only reads and returns information (ad format, images, dates, domain, creative text) with no side effects, modifications, or destructive actions. The only consideration is credit consumption, but that is a minor operational cost, not a financial transaction initiated by the tool itself.
From the tool's definition 'List ads from Google Ads Transparency Center by company domain or advertiser ID. Returns ad format, images, dates, and domain.'
Attacks that exploit this kind of access
List ads from Google Ads Transparency Center by company domain or advertiser ID. Returns ad format, images, dates, and domain. Set get_ad_details: true for full creative text (costs 25 credits). Use resolve-company first to find the domain or advertiser_id. It is categorised as a Read tool in the Ad Library MCP MCP Server, which means it retrieves data without modifying state.
Register the Ad Library MCP server in PolicyLayer and add a rule for google-search-ads: 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 Ad Library MCP. Nothing to install.
google-search-ads 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 google-search-ads 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 google-search-ads. 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.
google-search-ads is provided by the Ad Library MCP server (thedavidquan01/ad-library-mcp). 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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