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run_analytics_report

Execute one saved analytics report immediately and return the generated run plus aggregated analytics data.

Part of the SendIt server.

run_analytics_report can trigger actions in SendIt, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke run_analytics_report to trigger processes or run actions in SendIt. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

run_analytics_report can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_analytics_report": {
      "limits": [
        {
          "counter": "run_analytics_report_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full SendIt policy for all 148 tools.

Get this rule live on your own SendIt server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access run_analytics_report gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so run_analytics_report only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the run_analytics_report tool do? +

Execute one saved analytics report immediately and return the generated run plus aggregated analytics data.. It is categorised as a Execute tool in the SendIt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_analytics_report? +

Register the SendIt MCP server in PolicyLayer and add a rule for run_analytics_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 SendIt. Nothing to install.

What risk level is run_analytics_report? +

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

Can I rate-limit run_analytics_report? +

Yes. Add a rate_limit block to the run_analytics_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 run_analytics_report completely? +

Set action: deny in the PolicyLayer policy for run_analytics_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 run_analytics_report? +

run_analytics_report is provided by the SendIt MCP server (https://sendit.infiniteappsai.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SendIt tool call.

Deterministic rules across all 148 SendIt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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