feat: Update description in input_schema.json (#78)

Author: jirispilka

.actor/input_schema.json

@@ -1,37 +1,37 @@
-{
-    "title": "RAG Web Browser",
-    "description": "Here you can test RAG Web Browser and its settings. Just enter the search terms or URL and click *Start ▶* to get results. In production applications, call the Actor via Standby HTTP server for fast response times.",
-    "type": "object",
-    "schemaVersion": 1,
-    "properties": {
-        "query": {
-            "title": "Search term or URL",
-            "type": "string",
-            "description": "Enter Google Search keywords or a URL of a specific web page. The keywords might include the [advanced search operators](https://blog.apify.com/how-to-scrape-google-like-a-pro/). Examples:\n\n- <code>san francisco weather</code>\n- <code>https://www.cnn.com</code>\n- <code>function calling site:openai.com</code>",
-            "prefill": "web browser for RAG pipelines -site:reddit.com",
-            "editor": "textfield",
-            "pattern": "[^\\s]+"
-        },
-        "maxResults": {
-            "title": "Maximum results",
-            "type": "integer",
-            "description": "The maximum number of top organic Google Search results whose web pages will be extracted. If `query` is a URL, then this field is ignored and the Actor only fetches the specific web page.",
-            "default": 3,
-            "minimum": 1,
-            "maximum": 100
-        },
-        "outputFormats": {
-            "title": "Output formats",
-            "type": "array",
-            "description": "Select one or more formats to which the target web pages will be extracted and saved in the resulting dataset.",
-            "editor": "select",
-            "default": ["markdown"],
-            "items": {
+    {
+        "title": "RAG Web Browser",
+        "description": "Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs.",
+        "type": "object",
+        "schemaVersion": 1,
+        "properties": {
+            "query": {
+                "title": "Search term or URL",
                 "type": "string",
-                "enum": ["text", "markdown", "html"],
-                "enumTitles": ["Plain text", "Markdown", "HTML"]
-            }
-        },
+                "description": "Enter Google Search keywords or a URL of a specific web page. The keywords might include the [advanced search operators](https://blog.apify.com/how-to-scrape-google-like-a-pro/). Examples:\n\n- <code>san francisco weather</code>\n- <code>https://www.cnn.com</code>\n- <code>function calling site:openai.com</code>",
+                "prefill": "web browser for RAG pipelines -site:reddit.com",
+                "editor": "textfield",
+                "pattern": "[^\\s]+"
+            },
+            "maxResults": {
+                "title": "Maximum results",
+                "type": "integer",
+                "description": "The maximum number of top organic Google Search results whose web pages will be extracted. If `query` is a URL, then this field is ignored and the Actor only fetches the specific web page.",
+                "default": 3,
+                "minimum": 1,
+                "maximum": 100
+            },
+            "outputFormats": {
+                "title": "Output formats",
+                "type": "array",
+                "description": "Select one or more formats to which the target web pages will be extracted and saved in the resulting dataset.",
+                "editor": "select",
+                "default": ["markdown"],
+                "items": {
+                    "type": "string",
+                    "enum": ["text", "markdown", "html"],
+                    "enumTitles": ["Plain text", "Markdown", "HTML"]
+                }
+            },
         "requestTimeoutSecs": {
             "title": "Request timeout",
             "type": "integer",