fix description being optional in hf_api

src/hf_eda_mcp/integrations/hf_client.py

@@ -120,7 +120,6 @@ class HfClient:
             metadata = {
                 "id": dataset_info.id,
                 "author": dataset_info.author or "unknown",
-                "description": dataset_info.description or "",
                 "tags": dataset_info.tags or [],
                 "downloads": getattr(dataset_info, "downloads", 0),
                 "likes": getattr(dataset_info, "likes", 0),
@@ -135,6 +134,11 @@ class HfClient:
                 "features": {},
             }
 
+            if hasattr(dataset_info, "description"):
+                metadata["description"] = dataset_info.description
+            else:
+                metadata["description"] = ""
+
             # Extract configuration information
             if hasattr(dataset_info, "card_data") and dataset_info.card_data:
                 configs = getattr(dataset_info.card_data, "configs", [])

src/hf_eda_mcp/tools/metadata.py

@@ -39,7 +39,7 @@ def get_dataset_metadata(dataset_id: str, config_name: Optional[str] = None, hf_
         Dictionary containing comprehensive dataset metadata:
         - id: Dataset identifier
         - author: Dataset author/organization
-        - description: Dataset description
+        - description: Dataset description if available
         - features: Dictionary of feature names and types
         - splits: Dictionary of split names and their sizes
         - configs: List of available configurations