docs: add guidance for handling large content in analyze_code

- Update tool description to recommend file paths for large content
- Add note in README about terminal output behavior
- Explain that MCP client shows full parameters in terminal
- Guide users to save large content to files first

This helps users avoid terminal clutter when analyzing large code snippets.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -167,6 +167,8 @@ Specialized tool for analyzing large files or multiple files that exceed Claude'
 "Have Gemini review these files together: auth.py, users.py, permissions.py"
 ```
 
+**Note on Terminal Output:** When using direct code input, the MCP client displays the full content in the terminal. For better readability with large content, save it to a file first and provide the file path instead.
+
 ### `list_models`
 Lists available Gemini models (defaults to 2.5 Pro Preview).
 

gemini_server.py

@@ -237,7 +237,7 @@ async def handle_list_tools() -> List[Tool]:
         ),
         Tool(
             name="analyze_code",
-            description="Analyze code files or snippets with Gemini's 1M context window",
+            description="Analyze code files or snippets with Gemini's 1M context window. For large content, use file paths to avoid terminal clutter.",
             inputSchema={
                 "type": "object",
                 "properties": {
@@ -248,7 +248,7 @@ async def handle_list_tools() -> List[Tool]:
                     },
                     "code": {
                         "type": "string",
-                        "description": "Direct code content to analyze (alternative to files)",
+                        "description": "Direct code content to analyze (use for small snippets only; prefer files for large content)",
                     },
                     "question": {
                         "type": "string",