Run JS in React Native app context (not WebView). Returns JSON result. For WebView JS, use webview_evaluate_script. Use measureView(uid) for coords.
AI agents invoke evaluate_script to trigger actions in React Native. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes JavaScript code within a React Native app's runtime context. Arbitrary JavaScript execution is inherently an Execute category risk because the effects depend entirely on what code is passed as arguments. The high severity reflects that an AI agent could use this to trigger malicious actions within the app (steal data, modify state, exfiltrate credentials, trigger unintended operations).
From the tool's definition Tool description states 'Run JS in React Native app context' which indicates execution of arbitrary JavaScript code in the application environment.
Attacks that exploit this kind of access
Run JS in React Native app context (not WebView). Returns JSON result. For WebView JS, use webview_evaluate_script. Use measureView(uid) for coords. It is categorised as a Execute tool in the React Native MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the React Native MCP server in PolicyLayer and add a rule for evaluate_script: 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. Nothing to install.
evaluate_script is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the evaluate_script 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.
Set action: deny in the PolicyLayer policy for evaluate_script. 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.
evaluate_script is provided by the React Native MCP server (@ohah/react-native-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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