Summary
Current agentic multimodal models suffer from a significant meta-cognitive deficit, struggling to decide between leveraging internal knowledge and querying external tools. This leads to "blind tool invocation," where models unnecessarily use tools even when tasks are resolvable from visual context. Addressing this pathological behavior is crucial for improving the efficiency and reliability of AI agents.
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