fix(agents): stop priming tool calls in schema-only structured agents

- with_structured_output binds a single tool (the schema), so a primed model emitted
  an unknown web_search call and the attempt was discarded for a free-text retry,
  costing an extra round trip and the typed output
- drop the tool-range wording from the no-tool sentiment analyst and state the
  constraint once via a shared NO_EXTERNAL_TOOLS #1130

tradingagents/agents/analysts/sentiment_analyst.py

@@ -36,6 +36,7 @@ from tradingagents.agents.utils.agent_utils import (
     get_news,
 )
 from tradingagents.agents.utils.structured import (
+    NO_EXTERNAL_TOOLS,
     bind_structured,
     invoke_structured_or_freetext,
 )
@@ -86,7 +87,11 @@ def create_sentiment_analyst(llm):
                     "You are a helpful AI assistant, collaborating with other assistants."
                     " If you or any other assistant has the FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** or deliverable,"
                     " prefix your response with FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** so the team knows to stop."
-                    " Today's date is {current_date}; treat it as 'now' for all analysis and tool-call date ranges. {instrument_context}"
+                    # No tool-calling here: the data is pre-fetched into the
+                    # prompt, so tool-range wording would only invite a
+                    # hallucinated tool call (#1130).
+                    " Today's date is {current_date}; treat it as 'now' for all analysis. {instrument_context}"
+                    " " + NO_EXTERNAL_TOOLS +
                     "\n{system_message}",
                 ),
                 MessagesPlaceholder(variable_name="messages"),

tradingagents/agents/managers/portfolio_manager.py

@@ -16,6 +16,7 @@ from tradingagents.agents.utils.agent_utils import (
     get_language_instruction,
 )
 from tradingagents.agents.utils.structured import (
+    NO_EXTERNAL_TOOLS,
     bind_structured,
     invoke_structured_or_freetext,
 )
@@ -61,7 +62,9 @@ def create_portfolio_manager(llm):
 
 ---
 
-Be decisive and ground every conclusion in specific evidence from the analysts.{get_language_instruction()}"""
+Be decisive and ground every conclusion in specific evidence from the analysts.
+
+{NO_EXTERNAL_TOOLS}{get_language_instruction()}"""
 
         final_trade_decision = invoke_structured_or_freetext(
             structured_llm,

tradingagents/agents/managers/research_manager.py

@@ -8,6 +8,7 @@ from tradingagents.agents.utils.agent_utils import (
     get_language_instruction,
 )
 from tradingagents.agents.utils.structured import (
+    NO_EXTERNAL_TOOLS,
     bind_structured,
     invoke_structured_or_freetext,
 )
@@ -40,7 +41,9 @@ Commit to a clear stance whenever the debate's strongest arguments warrant one;
 ---
 
 **Debate History:**
-{history}""" + get_language_instruction()
+{history}
+
+{NO_EXTERNAL_TOOLS}""" + get_language_instruction()
 
         investment_plan = invoke_structured_or_freetext(
             structured_llm,

tradingagents/agents/trader/trader.py

@@ -12,6 +12,7 @@ from tradingagents.agents.utils.agent_utils import (
     get_language_instruction,
 )
 from tradingagents.agents.utils.structured import (
+    NO_EXTERNAL_TOOLS,
     bind_structured,
     invoke_structured_or_freetext,
 )
@@ -31,7 +32,8 @@ def create_trader(llm):
                 "content": (
                     "You are a trading agent analyzing market data to make investment decisions. "
                     "Based on your analysis, provide a specific recommendation to buy, sell, or hold. "
-                    "Anchor your reasoning in the analysts' reports and the research plan."
+                    "Anchor your reasoning in the analysts' reports and the research plan. "
+                    + NO_EXTERNAL_TOOLS
                     + get_language_instruction()
                 ),
             },

tradingagents/agents/utils/structured.py

@@ -28,6 +28,16 @@ logger = logging.getLogger(__name__)
 
 T = TypeVar("T", bound=BaseModel)
 
+# Schema-only structured output binds exactly one tool (the schema itself), so a
+# model that reaches for a search tool emits an unknown tool call and the whole
+# structured attempt is discarded for a free-text retry. Agents on this path
+# state the constraint explicitly rather than relying on the binding alone
+# (#1130).
+NO_EXTERNAL_TOOLS = (
+    "Use only the evidence provided in this prompt. Do not call external tools "
+    "or search the web; if something is missing, say so explicitly."
+)
+
 
 def bind_structured(llm: Any, schema: type[T], agent_name: str) -> Any | None:
     """Return ``llm.with_structured_output(schema)`` or ``None`` if unsupported.