List account-level assets: sitelinks, callouts, structured snippets, images, call extensions, and more. Filter by asset type.
AI agents call gads_list_assets 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 queries asset data from a Google Ads account with no side effects. It is a read-only operation that returns information about existing assets (sitelinks, callouts, structured snippets, images, call extensions, etc.). The function is purely informational and does not create, modify, delete, or execute any operations.
From the tool's definition Tool name contains 'list' and description states 'List account-level assets' with filtering capabilities. No modifications, deletions, or execution of external operations are mentioned.
Attacks that exploit this kind of access
List account-level assets: sitelinks, callouts, structured snippets, images, call extensions, and more. Filter by asset type. 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_list_assets: 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_list_assets 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_list_assets 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_list_assets. 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_list_assets 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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