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parse_jfr_summary

Parses a .jfr file and returns a structured summary: top methods by CPU samples, GC statistics, thread allocation stats, and anomaly hints (e.g. high GC count). Use for a quick high-level overview of the recording before diving into specific profiles.

Risk signalsAccepts file system path (filepath)

Part of the Javaperf server.

parse_jfr_summary can trigger actions in Javaperf, 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 parse_jfr_summary to trigger processes or run actions in Javaperf. 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.

parse_jfr_summary 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": {
    "parse_jfr_summary": {
      "limits": [
        {
          "counter": "parse_jfr_summary_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Javaperf policy for all 26 tools.

Get this rule live on your own Javaperf 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 parse_jfr_summary gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so parse_jfr_summary 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 parse_jfr_summary tool do? +

Parses a .jfr file and returns a structured summary: top methods by CPU samples, GC statistics, thread allocation stats, and anomaly hints (e.g. high GC count). Use for a quick high-level overview of the recording before diving into specific profiles.. It is categorised as a Execute tool in the Javaperf MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on parse_jfr_summary? +

Register the Javaperf MCP server in PolicyLayer and add a rule for parse_jfr_summary: 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 Javaperf. Nothing to install.

What risk level is parse_jfr_summary? +

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

Can I rate-limit parse_jfr_summary? +

Yes. Add a rate_limit block to the parse_jfr_summary 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 parse_jfr_summary completely? +

Set action: deny in the PolicyLayer policy for parse_jfr_summary. 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 parse_jfr_summary? +

parse_jfr_summary is provided by the Javaperf MCP server (javaperf). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Javaperf tool call.

Deterministic rules across all 26 Javaperf tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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