read_console

Read console logs from the running React Native app (buffered since the runtime bridge connected). Cursor-based: pass the previous nextCursor to read only new entries. Requires Metro running.

Server React Native Dev luizhbesper/react-native-mcp
Category Read
Risk class Low
Parameters 00 required

What read_console does on React Native Dev

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

Why read_console needs a policy

This tool retrieves buffered console logs from a running React Native application without any side effects or ability to modify state. It is purely observational—querying historical log data. This aligns with the Read category for tools that retrieve or query data with no side effects.

From the tool's definition Tool name is 'read_console' and description states it 'Read console logs from the running React Native app' with cursor-based pagination to 'read only new entries'. No modification, deletion, or execution capability described.

Questions about read_console

What does the read_console tool do? +

Read console logs from the running React Native app (buffered since the runtime bridge connected). Cursor-based: pass the previous nextCursor to read only new entries. Requires Metro running. It is categorised as a Read tool in the React Native Dev MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_console? +

Register the React Native Dev MCP server in PolicyLayer and add a rule for read_console: 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 Native Dev. Nothing to install.

What risk level is read_console? +

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

Can I rate-limit read_console? +

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

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

read_console is provided by the React Native Dev MCP server (luizhbesper/react-native-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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