First version of the tool.

No test was performed at the current status.

app.py

@@ -4,20 +4,14 @@ import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
-
+import nltk
+import textstat
+from nltk.tokenize import word_tokenize, sent_tokenize
+from collections import Counter
+nltk.download("punkt")
 from Gradio_UI import GradioUI
 
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
-@tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
-
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
@@ -34,6 +28,24 @@ def get_current_time_in_timezone(timezone: str) -> str:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
 
+#Following my creation.
+@tool
+def text_analysis(text:str)-> str: 
+    """A tool that analyzes a given text. It returns the word count, the number of sentences, the most used words, and the readability of the text.   
+    Args:
+        text: A string with the text to analyze        
+    """
+    try: 
+        words = word_tokenize(text)
+        sentences = sent_tokenize(text)    
+        word_count = len(words)
+        sentence_count = len(sentences)
+        reading_level = textstat.flesch_kincaid_grade(text)
+        most_common_words = Counter(words).most_common(5)    
+            return f"I completed the analysis. The text has {word_count} words and {sentence_count} sentences. The reading level is {reading_level}. The 5 most common words are {most_common_words}"
+    except Exception as e:
+        return f"I could not complete the task. I got this error: {e}"
+
 final_answer = FinalAnswerTool()
 
 # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
@@ -55,7 +67,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, text_analysis, get_current_time_in_timezone], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,