Developer rolls back AI transit agent after skill-layer changes broke real-time data use

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A developer building an MCP-based transit agent encountered a subtle but critical failure after simultaneously modifying the tool's parsing logic and introducing a new SKILL orchestration layer. Rather than throwing errors, the agent silently shifted to using backup web search instead of the real-time MCP transit tool, making the problem difficult to diagnose. Attempts to fix the behavior by adjusting SKILL-layer instructions failed to restore the agent's reliance on the MCP tool. The developer ultimately rolled back to version 0.1.1, restoring the simpler parsing logic and a minimal form of the SKILL layer. After retesting, the agent resumed using the MCP tool reliably, with fare retrieval and complex routing both performing better, though some edge cases remain unresolved.

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