stop_profiling

Stop profiling and get data

Server React Devtools skylarbarrera/react-devtools-mcp
Category Read
Risk class Low
Parameters 00 required

What stop_profiling does on React Devtools

AI agents call stop_profiling to retrieve information from React Devtools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why stop_profiling needs a policy

The tool stops an active profiling session and returns the collected performance data. While it does alter the state of the profiling session (stopping it), this is a reversible, low-impact action within React DevTools — profiling can be restarted. The main purpose is to retrieve performance metrics, making Read the most applicable category.

From the tool's definition 'Stop profiling and get data' — the primary output is retrieving profiling data; stopping profiling is a state change but within the devtools session context

Questions about stop_profiling

What does the stop_profiling tool do? +

Stop profiling and get data. It is categorised as a Read tool in the React Devtools MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stop_profiling? +

Register the React Devtools MCP server in PolicyLayer and add a rule for stop_profiling: 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 React Devtools. Nothing to install.

What risk level is stop_profiling? +

stop_profiling is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit stop_profiling? +

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

Set action: deny in the PolicyLayer 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 React Devtools MCP server (skylarbarrera/react-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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