Run a GA4 report with configurable dimensions, metrics, date range, ordering, and safe dataset controls. Estimates row count first; returns a warning above row_warning_threshold (default 2500). Use ga_search_schema to discover dimension/metric apiNames.
AI agents invoke ga_run_report to trigger actions in Apple Shortcuts. 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.
Running a GA4 report triggers an external API call to Google Analytics that executes a query with user-supplied parameters. While it is read-like in intent (fetching analytics data), the execution of arbitrary report configurations against an external service with configurable dimensions/metrics/date ranges classifies it as Execute.
From the tool's definition 'Run a GA4 report' and 'Estimates row count first; returns a warning above row_warning_threshold' — this tool executes a report query against Google Analytics 4 with configurable parameters including dimensions, metrics, date ranges, and ordering
Documented attack patterns abuse exactly the kind of access ga_run_report gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Apple Shortcuts, and nothing reaches the server without passing your rules. This is the rule we recommend for ga_run_report:
{
"version": "1",
"default": "deny",
"tools": {
"ga_run_report": {
"limits": [
{
"counter": "ga_run_report_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} ga_run_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 a GA4 report with configurable dimensions, metrics, date range, ordering, and safe dataset controls. Estimates row count first; returns a warning above row_warning_threshold (default 2500). Use ga_search_schema to discover dimension/metric apiNames. It is categorised as a Execute tool in the Apple Shortcuts MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Apple Shortcuts MCP server in PolicyLayer and add a rule for ga_run_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 Apple Shortcuts. Nothing to install.
ga_run_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 ga_run_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 ga_run_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.
ga_run_report is provided by the Apple Shortcuts MCP server (@mindstone/mcp-server-apple-shortcuts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Apple Shortcuts, 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.
423 Apple Shortcuts tools catalogued and risk-classified — across an index of 43,000+ MCP servers.