AI agents invoke run_custom_report to trigger actions in Google Ad Manager MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The name 'run_custom_report' implies executing a reporting operation in Google Ad Manager. In ad platforms, running a custom report typically triggers a query/execution against ad data (Execute category), potentially with significant blast radius if it exposes sensitive campaign or financial data. However, since the description is empty, confidence is reduced.
From the tool's definition Tool name 'run_custom_report' — description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access run_custom_report gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google Ad Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for run_custom_report:
{
"version": "1",
"default": "deny",
"tools": {
"run_custom_report": {
"limits": [
{
"counter": "run_custom_report_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_custom_report stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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run_custom_report. It is categorised as a Execute tool in the Google Ad Manager MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Google Ad Manager MCP Server MCP server in PolicyLayer and add a rule for run_custom_report: 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 Ad Manager MCP Server. Nothing to install.
run_custom_report is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_custom_report 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 run_custom_report. 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.
run_custom_report is provided by the Google Ad Manager MCP Server MCP server (matiouscorp/google-ad-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google Ad Manager MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
35 Google Ad Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.