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chieflab_continue_launch_loop

[chieflab_* alias of chiefmo_continue_launch_loop] Resume a ChiefLab launch loop from runId. USE WHEN an agent has already called chieflab_get_users_after_build / chiefmo_launch_product and needs the exact next action: surface reviewUrl, execute an approved action, wait for measurement, measure r...

Part of the ChiefLab server.

chieflab_continue_launch_loop can trigger actions in ChiefLab, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke chieflab_continue_launch_loop to trigger processes or run actions in ChiefLab. 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.

chieflab_continue_launch_loop can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "chieflab_continue_launch_loop": {
      "limits": [
        {
          "counter": "chieflab_continue_launch_loop_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access chieflab_continue_launch_loop gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so chieflab_continue_launch_loop only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the chieflab_continue_launch_loop tool do? +

[chieflab_* alias of chiefmo_continue_launch_loop] Resume a ChiefLab launch loop from runId. USE WHEN an agent has already called chieflab_get_users_after_build / chiefmo_launch_product and needs the exact next action: surface reviewUrl, execute an approved action, wait for measurement, measure results, or prepare the next move. Default response is summary-sized: reviewUrl + action ids, not full draft bodies. Pass responseShape:"full" only for debug/export.. It is categorised as a Execute tool in the ChiefLab MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on chieflab_continue_launch_loop? +

Register the ChiefLab MCP server in PolicyLayer and add a rule for chieflab_continue_launch_loop: 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 ChiefLab. Nothing to install.

What risk level is chieflab_continue_launch_loop? +

chieflab_continue_launch_loop is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit chieflab_continue_launch_loop? +

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

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

chieflab_continue_launch_loop is provided by the ChiefLab MCP server (@chieflab/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ChiefLab tool call.

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