AI agents invoke wait_for to trigger actions in Electron. 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.
While not directly destructive or financial, this tool executes a control-flow operation that blocks and monitors an Electron app's state. Combined with sibling tools like 'evaluate_script' and 'emulate', it forms part of an automation pipeline capable of triggering external operations. Misuse could cause denial-of-service (infinite waits), resource exhaustion, or timing-dependent failures in coordinated attacks.
From the tool's definition Tool 'wait_for' in an Electron automation server that 'interact[s] with Electron apps' via Chrome DevTools Protocol.
Attacks that exploit this kind of access
Wait until the given text appears in the page body. It is categorised as a Execute tool in the Electron MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Electron MCP server in PolicyLayer and add a rule for wait_for: 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 Electron. Nothing to install.
wait_for 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 wait_for 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 wait_for. 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.
wait_for is provided by the Electron MCP server (ohah/electron-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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