refactor: Remove wait/timeout params from docker_auto_start

The wait parameter was a convenience anti-pattern that caused LLMs
to block on a single tool call for up to 5 minutes with no visibility
into progress.

Now docker_auto_start always returns immediately. Clients should use
docker_wait(port) separately to poll for container readiness. This
gives visibility into progress and allows early bailout.

CHANGELOG.md

@@ -59,7 +59,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
 
 ### Changed
 - **Docker Port Allocation:** Ports are now auto-allocated from pool (8192-8223) instead of client-specified. Prevents session collisions in multi-agent environments.
-- **docker_auto_start:** Default `wait=False` for immediate return. Use `docker_wait` separately to poll for container readiness.
+- **docker_auto_start:** Removed `wait` and `timeout` parameters entirely. Always returns immediately after starting container. Use `docker_wait(port)` separately to poll for readiness. This prevents LLMs from blocking on a single tool call for minutes.
 
 ### Fixed
 - **instances_use Hanging:** Eliminated 4+ hour hangs by removing blocking HTTP call. Now uses lazy registration — just creates a stub entry, validates on first real tool call.

src/ghydramcp/mixins/docker.py

@@ -945,8 +945,6 @@ class DockerMixin(MCPMixin):
     async def docker_auto_start(
         self,
         binary_path: str,
-        wait: bool = False,
-        timeout: float = 300.0,
         ctx: Optional[Context] = None,
     ) -> Dict[str, Any]:
         """Automatically start a Docker container with intelligent port allocation.
@@ -954,19 +952,17 @@ class DockerMixin(MCPMixin):
         This is the main entry point for automatic Docker management:
         1. Checks if a Ghidra instance with the SAME binary is already running
         2. If not, allocates a port from the pool and starts a new container
-        3. Optionally waits for the container to become healthy
-        4. Returns connection info for the instance
+        3. Returns connection info immediately (use docker_wait to poll for readiness)
 
         Ports are auto-allocated from the pool (8192-8223) to prevent
         conflicts between concurrent sessions.
 
         Args:
             binary_path: Path to the binary to analyze
-            wait: Wait for container to be ready (default: False, use docker_wait separately)
-            timeout: Max wait time in seconds (default: 300)
 
         Returns:
-            Instance connection info with session ID and port details
+            Instance connection info with session ID and port details.
+            Use docker_wait(port) or docker_health(port) to check when ready.
         """
         import os
 
@@ -1017,10 +1013,6 @@ class DockerMixin(MCPMixin):
 
         actual_port = start_result.get("port")
 
-        if wait:
-            # Wait for the container to become healthy
-            wait_result = await self.docker_wait(port=actual_port, timeout=timeout, ctx=ctx)
-            if wait_result.get("healthy"):
         return {
             "source": "docker",
             "session_id": self.session_id,
@@ -1028,28 +1020,7 @@ class DockerMixin(MCPMixin):
             "container_name": start_result.get("name"),
             "port": actual_port,
             "api_url": f"http://localhost:{actual_port}/",
-                    "program": wait_result.get("program"),
-                    "waited_seconds": wait_result.get("waited_seconds"),
-                    "message": f"Docker container ready on port {actual_port} after {wait_result.get('waited_seconds')}s",
-                }
-            else:
-                return {
-                    "warning": "Container started but not yet healthy",
-                    "session_id": self.session_id,
-                    "container_id": start_result.get("container_id"),
-                    "port": actual_port,
-                    "last_error": wait_result.get("error"),
-                    "message": "Container may still be analyzing. Check docker_logs() for progress.",
-                }
-
-        return {
-            "source": "docker",
-            "session_id": self.session_id,
-            "container_id": start_result.get("container_id"),
-            "container_name": start_result.get("name"),
-            "port": actual_port,
-            "api_url": f"http://localhost:{actual_port}/",
-            "message": f"Container starting on port {actual_port}. Use docker_wait() or docker_health() to check status.",
+            "message": f"Container starting on port {actual_port}. Use docker_wait(port={actual_port}) to poll for readiness.",
         }
 
     @mcp_tool(