generate_report · Spark EventLog MCP Server MCP

WHAT IT DOES

What generate_report does on Spark EventLog MCP Server

AI agents use generate_report to create or update resources in Spark EventLog MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Spark EventLog MCP Server environment.

WHY IT NEEDS A POLICY

Why generate_report needs a policy

Report generation is a Write operation—it creates new data artifacts (HTML reports) that persist and are reversible (reports can be regenerated or deleted). While not modifying source data, it produces new outputs.

From the tool's definition Tool name 'generate_report' combined with server context describing 'interactive HTML reports' and 'automated optimization recommendations' indicates the tool creates output artifacts (reports).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_report Rate-limited

generate_report stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_report": {
      "limits": [
        {
          "counter": "generate_report_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Spark EventLog MCP Server, so you can run agents against it safely.

FAQ

Questions about generate_report

What does the generate_report tool do? +

generate_report. It is categorised as a Write tool in the Spark EventLog MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_report? +

Register the Spark EventLog MCP Server MCP server in PolicyLayer and add a rule for generate_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 Spark EventLog MCP Server. Nothing to install.

What risk level is generate_report? +

generate_report is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_report? +

Yes. Add a rate_limit block to the generate_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 generate_report completely? +

Set action: deny in the PolicyLayer policy for generate_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 generate_report? +

generate_report is provided by the Spark EventLog MCP Server MCP server (yhyyz/spark-eventlog-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.