Pause and request human intervention. Shows the @..@ overlay with your reason. Use when you encounter a CAPTCHA, login wall, or any situation requiring human action. The tool blocks until the user clicks 'Done' on the overlay. Returns success when resolved.
Part of the Leapfrog MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke wait_for_human to trigger processes or run actions in Leapfrog. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
wait_for_human can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
wait_for_human:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Leapfrog policy for all 37 tools.
Agents calling execute-class tools like wait_for_human have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
wait_for_human is one of the high-risk operations in Leapfrog. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Pause and request human intervention. Shows the @..@ overlay with your reason. Use when you encounter a CAPTCHA, login wall, or any situation requiring human action. The tool blocks until the user clicks 'Done' on the overlay. Returns success when resolved.. It is categorised as a Execute tool in the Leapfrog MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for wait_for_human. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leapfrog MCP server.
wait_for_human 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_human rule in your Intercept 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 Intercept policy for wait_for_human. 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_human is provided by the Leapfrog MCP server (leapfrog-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept