High Risk →

stop_profiling

Stops an active JFR recording and saves it to recordings/new_profile.jfr. Use recordings/new_profile.jfr for current data, recordings/old_profile.jfr for previous (before/after comparison).

Part of the Javaperf MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

javaperf Execute Risk 3/5

AI agents invoke stop_profiling 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.

stop_profiling can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept 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.

javaperf.yaml
tools:
  stop_profiling:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Javaperf policy for all 15 tools.

Tool Name stop_profiling
Category Execute
MCP Server Javaperf MCP Server
Risk Level High

View all 15 tools →

Agents calling execute-class tools like stop_profiling have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

stop_profiling is one of the high-risk operations in Javaperf. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the stop_profiling tool do? +

Stops an active JFR recording and saves it to recordings/new_profile.jfr. Use recordings/new_profile.jfr for current data, recordings/old_profile.jfr for previous (before/after comparison).. 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 stop_profiling? +

Add a rule in your Intercept YAML policy under the tools section for stop_profiling. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Javaperf MCP server.

What risk level is stop_profiling? +

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

Can I rate-limit stop_profiling? +

Yes. Add a rate_limit block to the stop_profiling rule in your Intercept 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 stop_profiling completely? +

Set action: deny in the Intercept policy for stop_profiling. 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 stop_profiling? +

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

Enforce policies on Javaperf

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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