ga_run_realtime_report

Run a GA4 realtime report with configurable dimensions and metrics. Realtime data covers the last 30 minutes by default.

SERVERFreshdesk SOURCE@mindstone-engineering/mcp-server-freshdesk

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/freshdesk/ga-run-realtime-report.md

WHAT IT DOES

What ga_run_realtime_report does on Freshdesk

AI agents invoke ga_run_realtime_report to trigger actions in Freshdesk. 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.

RISK

Why ga_run_realtime_report is rated High

This tool executes a query/report against the GA4 API to retrieve realtime analytics data. While the result is read-only data, the action of 'running' a report with configurable parameters constitutes an Execute operation (similar to run_query). No data is modified, but the tool triggers an external API operation whose behavior depends on the arguments provided.

From the tool's definition "Run a GA4 realtime report" — the word 'run' indicates executing a report query against Google Analytics 4

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ga_run_realtime_report safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Freshdesk, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ga_run_realtime_report, this is the rule to start with:

ga_run_realtime_report Rate-limited

ga_run_realtime_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ga_run_realtime_report": {
      "limits": [
        {
          "counter": "ga_run_realtime_report_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Freshdesk, apply this rule, and every ga_run_realtime_report call is checked against it from then on.

FAQ

Questions about ga_run_realtime_report

What does the ga_run_realtime_report tool do? +

Run a GA4 realtime report with configurable dimensions and metrics. Realtime data covers the last 30 minutes by default. It is categorised as a Execute tool in the Freshdesk MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ga_run_realtime_report? +

Register the Freshdesk MCP server in PolicyLayer and add a rule for ga_run_realtime_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 Freshdesk. Nothing to install.

What risk level is ga_run_realtime_report? +

ga_run_realtime_report is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ga_run_realtime_report? +

Yes. Add a rate_limit block to the ga_run_realtime_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.

How do I block ga_run_realtime_report completely? +

Set action: deny in the PolicyLayer policy for ga_run_realtime_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.

What MCP server provides ga_run_realtime_report? +

ga_run_realtime_report is provided by the Freshdesk MCP server (@mindstone-engineering/mcp-server-freshdesk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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