Dog Body Language Decoder Connector for AI agents.

It turns your observations of a dog's physical cues into a clear safety plan. You'll get specific instructions on distance and voice tone based on the dog's current mood.

Yes, it's designed for anyone who wants to understand dog behavior better. It takes your descriptions and gives you clear, actionable steps for interacting safely.

That's why this Connector is useful. It looks at the whole body, including ears and posture, to give you a more accurate emotional assessment than just looking at one signal.

It interprets the dog's emotional state based on visible signals. It provides a confidence rating and a safety plan to help you interact without stress.

Provide as much detail as possible about the dog's posture, ear position, tail state, and facial expressions. The more details you give, the more accurate the safety guidelines will be.

It helps you identify signs of fear and stress before they escalate. By understanding these signals, you can avoid triggers and keep interactions safe.

The system is designed to analyze combinations. The core logic resides in calculate_emotional_state. This capability requires structured inputs from query_body_signals (e.g., tucked tail + pinned ears) to weigh multiple signals against predefined rules, providing a much more accurate assessment than any single signal alone.

The process flows from query_body_signals $\rightarrow$ calculate_emotional_state $\rightarrow$ query_safe_approach. The final output is generated by the last capability, query_safe_approach, which provides a comprehensive set of safety guidelines (general principle, specific actions, and distance mandates) tailored to the dog's primary emotional state.

The initial input capability, query_body_signals, is responsible for standardizing ambiguous human descriptions. While users should use clear language, the system is built to accept structured inputs regarding posture, ears, tail, and face. The subsequent capabilities will then interpret these standardized signals.