Override a prop value on a component
AI agents use override_props to create or update resources in React Devtools — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your React Devtools environment.
This tool modifies the runtime state of a React component by overriding its props. This is a Write operation as it changes data/state in the running application. Severity is high because an AI agent could use this to alter UI behavior, inject malicious values, or cause application malfunctions across any component in the React tree.
From the tool's definition Override a prop value on a component
Attacks that exploit this kind of access
Override a prop value on a component. It is categorised as a Write tool in the React Devtools MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the React Devtools MCP server in PolicyLayer and add a rule for override_props: 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.
override_props is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the override_props 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 override_props. 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.
override_props 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.
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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