pre release update and small fix

docs/quick-links/environments.mdx

@@ -31,26 +31,17 @@ async def search(query: str) -> str:
     return db.search(query)
 ```
 
+<Tip>
+Before building custom tools, check if [HUD's pre-built tools](/tools) already provide what you need—computer control, shell execution, file editing, web browsing, and more.
+</Tip>
+
 Got a FastAPI app? One line:
 
 ```python
 env.connect_fastapi(app)
 ```
 
-All your routes become tools. HUD also provides ready-to-use tools—just `add_tool()` them:
-
-```python
-from hud.tools.computer import OpenAIComputerTool
-from hud.tools.coding import EditTool
-from hud.tools.hosted import WebSearchTool
-
-env = Environment("my-agent")
-env.add_tool(OpenAIComputerTool())  # Computer use for browser/desktop
-env.add_tool(EditTool())            # str_replace file editing
-env.add_tool(WebSearchTool())       # Web search via Anthropic/Google
-```
-
-See the [Tools](/tools) section for all available tools including [computer](/tools/computer), [coding](/tools/coding), and [web](/tools/web).
+All your routes become tools.
 
 ## Scenarios
 

hud/cli/utils/build_display.py

@@ -141,10 +141,11 @@ def _display_lock_details(
         rich_console.print(scenarios_table)
 
     # Display environment variables
-    env_config = lock_data.get("environment", {})
+    env_config = lock_data.get("environment") or {}
     if env_config:
-        required_vars = env_config.get("variables", {}).get("required", [])
-        optional_vars = env_config.get("variables", {}).get("optional", [])
+        variables = env_config.get("variables") or {}
+        required_vars = variables.get("required", [])
+        optional_vars = variables.get("optional", [])
 
         if required_vars or optional_vars:
             rich_console.print()

scripts/pre_release_check.py

@@ -50,18 +50,24 @@ async def run_evaluation(self) -> bool:
 
         try:
             # Import required modules
-            from hud.datasets import run_dataset
+            from hud.datasets import load_tasks, run_dataset
+
+            # Load tasks and apply tool filter to each task's environment
+            task_list = load_tasks(self.dataset)
+            for task in task_list:
+                if task.env is not None:
+                    # Only allow anthropic_computer tool for Claude
+                    task.env._agent_include = ["anthropic_computer"]
 
             # Run the evaluation
             agent_params = {
                 "model": "claude-sonnet-4-5",
-                "allowed_tools": ["anthropic_computer"],
                 "verbose": False,
             }
 
             logger.info("Running evaluation...")
             self.results = await run_dataset(
-                tasks=self.dataset,
+                tasks=task_list,
                 agent_type="claude",
                 agent_params=agent_params,
                 max_concurrent=25,