update tools

tools/analytics_tool.py

@@ -12,14 +12,13 @@ class AnalyticsInput(BaseModel):
 
 # ---------- Tool ----------
 class AnalyticsTool(BaseTool):
+    name: str = "analytics_tool"
+    description: str = (
+        "Aggregates structured market, historical, and sentiment data to produce "
+        "quantitative indicators including pct_change, volatility, trend, sentiment, "
+        "alignment consistency, and a composite confidence score."
+    )
     args_schema: Type[BaseModel] = AnalyticsInput
-    class Config:
-        name = "analytics_tool"
-        description = (
-            "Aggregates structured market, historical, and sentiment data to produce "
-            "quantitative indicators including pct_change, volatility, trend, sentiment, "
-            "alignment consistency, and a composite confidence score."
-        )
 
     def _run(self, market_data: dict, historical_data: dict, sentiment_data: dict) -> dict:
         try:

tools/historical_data_tool.py

@@ -15,14 +15,12 @@ class HistoricalInput(BaseModel):
 
 # ---------- Tool ----------
 class HistoricalDataTool(BaseTool):
+    name: str = "get_historical_data"
+    description: str = (
+        "Fetches historical cryptocurrency market data from CoinGecko and computes "
+        "trend, percent change, and volatility. Returns structured JSON."
+    )
     args_schema: Type[BaseModel] = HistoricalInput
-    
-    class Config:
-        name = "get_historical_data"
-        description = (
-            "Fetches historical cryptocurrency market data from CoinGecko and computes "
-            "trend, percent change, and volatility. Returns structured JSON."
-        )
 
     def _run(self, symbol: str = "bitcoin", currency: str = "usd", days: int = 30) -> dict:
         url = f"https://api.coingecko.com/api/v3/coins/{symbol}/market_chart"

tools/market_data.py

@@ -11,13 +11,12 @@ class MarketDataInput(BaseModel):
 
 # ---------- Tool ----------
 class MarketDataTool(BaseTool):
+    name: str = "get_market_data"
+    description: str = (
+        "Fetches the current market price of a cryptocurrency "
+        "in a chosen fiat currency using the CoinGecko API."
+    )
     args_schema: Type[BaseModel] = MarketDataInput
-    class Config:
-        name = "get_market_data"
-        description = (
-            "Fetches the current market price of a cryptocurrency "
-            "in a chosen fiat currency using the CoinGecko API."
-        )
     
     def _run(self, symbol: str = "bitcoin", currency: str = "usd") -> dict:
         """

tools/sentiment_tool.py

@@ -2,18 +2,24 @@ import os
 import requests
 from crewai.tools import BaseTool
 from openai import OpenAI
+from typing import Type
+from pydantic import BaseModel, Field
 
 SERPER_API_KEY = os.getenv(key="SERPER_API_KEY")
 OPENAI_API_KEY = os.getenv(key = "OPENAI_API_KEY")
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 
+class SentimentInput(BaseModel):
+    query: str = Field(default="bitcoin", description="Cryptocurrency name to evaluate sentiment for.")
+
 class SentimentTool(BaseTool):
     name: str = "get_crypto_sentiment"
     description: str = (
         "Fetches recent cryptocurrency news and Reddit discussions,"
         "then analyses sentiment as bullish, bearish or neutral."
     )
+    arg_schema: Type[BaseModel] = SentimentInput
 
     def _run(self, query: str = "bitcoin") -> str:
         try: