MCP Test MCP

--- story_id: "0011" title: "Unit tests for all MCP tools" created: "2025-10-09" status: done dependencies: ["0005", "0006", "0007", "0008", "0009"] estimated_complexity: "high" tags: ["testing", "tools", "phase1"] - status: in-progress timestamp: 2025-10-10T01:15:14Z - status: ready-for-review timestamp: 2025-10-10T01:22:02Z - status: done timestamp: 2025-10-10T02:31:54Z --- # Story 0011: Unit tests for all MCP tools ## Description Create comprehensive unit tests for all 9 MCP tools (connection, tool testing, resource testing, and prompt testing tools). Cover happy paths, error cases, and edge cases. Target 80%+ code coverage. ## Acceptance Criteria - [x] Tool test files created (test_tools_connection.py, test_tools_tools.py, test_tools_resources.py, test_tools_prompts.py) - [x] All tools tested with happy path scenarios - [x] All tools tested with not_connected error case - [x] All tools tested with specific error cases (not_found, invalid_arguments, etc.) - [x] Response format validation for all tools - [x] Statistics tracking verified - [x] Code coverage ≥ 80% for all tool files (connection: 99%, tools: 93%, resources: 82%, prompts: 88%) ## Technical Notes **Test structure per tool:** 1. Happy path - tool works correctly when connected 2. Not connected - tool fails gracefully when no connection 3. Specific errors - tool-specific error cases 4. Response format - verify schema compliance 5. Statistics - verify counters update **Example test organization:** ```python # tests/test_tools/test_tool_tools.py async def test_list_tools_success(mock_mcp_server): """Test list_tools returns full schemas""" async def test_list_tools_not_connected(): """Test list_tools fails when not connected""" async def test_call_tool_success(mock_mcp_server): """Test call_tool executes and returns verbose result""" async def test_call_tool_not_found(mock_mcp_server): """Test call_tool fails when tool doesn't exist""" ``` ## AI Directives **IMPORTANT**: As you work through this story, please mark checklist items as complete `[x]` as you finish them. This ensures that if we need to pause and resume work, we have a clear record of progress. Update the `status` field in the frontmatter when moving between stages (in-progress, ready-for-review, done, blocked). Test error handling thoroughly - error messages should be actionable for AI assistants.