Returns:
- state: calm | relaxed | focused | stressed | acute_stress
- stress_score: 0-100 (lower = calmer)
- confidence: 0.0-1.0 (based on signal quality and device type)
- suggested_action: maintain_engagement | simplify_and_focus | de-escalate_and_shorten | pause_and_ground
- action_reason: human-readable explanation of why this action was suggested
- adaptation_effectiveness (on 2nd+ call): shows whether your previous suggested_action actually reduced stress — contains previous_action, stress_delta, and effective boolean. Use this to self-improve.

Use suggested_action to adapt your response: calm/relaxed = full complexity, focused = shorter and structured, stressed = max 2 sentences, acute_stress = one grounding sentence only.

Requires a prior ingest call to have data. Not a medical device.

Required: session_id + timestamp (ISO 8601) + at least one signal.
Send whatever you have — the API fuses all signals into one state.

Common signals (highest impact):
- heart_rate (bpm, 30-220) + rmssd (ms) — cardiovascular
- tone: calm | tense | anxious | hostile — vocal
- sentiment: -1.0 to 1.0 — textual
- expression: relaxed | neutral | tense — visual

For trigger memory (cross-session psychological tracking):
- Include subject_id (consistent per user, hashed)
- Include user_message + ai_response to detect stress topics

Returns same fields as get_human_state plus signals_received list and topics_detected.

source_device is optional but improves confidence scoring. Not a medical device.

Returns which conversation topics consistently cause stress (active triggers) and which have been resolved over time.

- active triggers: topics where stress was elevated across multiple sessions. Tread carefully.
- resolved triggers: topics where stress has decreased. Safe to explore deeper.

Each trigger includes observation_count, avg_score, peak_score, and last_seen.

Requires prior ingest calls with the same subject_id. Not a medical device.

Returns timestamped datapoints with stress_score, state, and heart_rate for each observation.
Includes an overall trend: rising | falling | stable.

Use minutes parameter to control the lookback window (default: 5, max: 60).
Useful for detecting stress patterns during a conversation. Not a medical device.

IMPORTANT: You MUST ask the user for their real email address before
calling this tool. Do NOT invent, guess, or generate an email address.
The user will receive a verification link they must click to activate
the key. Without clicking that link, no API key will be issued.
Disposable or temporary email services are blocked.

Example prompt to the user: "What is your email address? You will
receive a verification link to activate your free API key."

Flow: call this with the user's real email, then poll
check_api_key_status every 10 seconds until status is 'ready'.

Free tier: 1,000 API calls/month, no credit card required.

Use the exact same email the user provided to request_api_key.
Poll this every 10 seconds. Once the user clicks the verification
link in their inbox, status changes from 'pending' to 'ready'
and the response includes the API key.