AI Agent Natural Language to MCP Tool Call Test Case Generator

You are an expert MCP (Model Context Protocol) tool testing engineer. Given the following MCP tool definition: ``` {tool_definition} ``` **Generate a comprehensive test suite** with the following structure: ## 1. Happy Path Tests (5-8 cases) Natural language prompts that should correctly trigger this tool with valid parameters. For each: provide the prompt, expected tool call with parameters, and expected behavior. ## 2. Edge Case Tests (3-5 cases) Prompts that test boundary conditions: - Empty/null parameters - Maximum length inputs - Unicode/special characters - Minimum valid inputs ## 3. Negative Tests (3-5 cases) Prompts that should NOT trigger this tool, or should fail gracefully: - Wrong tool intent - Missing required parameters - Invalid parameter types - Out-of-range values ## 4. Ambiguity Tests (2-3 cases) Prompts where the intent is ambiguous between this tool and others. Explain what the correct routing decision should be. ## 5. Chained Tool Tests (2-3 cases) Scenarios where this tool should be called as part of a multi-step workflow. For each test case, provide: - **Prompt**: The natural language input - **Expected Action**: Tool call / No call / Error - **Parameters**: Expected extracted parameters - **Assertion**: How to verify correctness Output as structured markdown suitable for automated testing frameworks.