Cognitive regulation for AI agents: entropy reduction, loop breaking, distilled lessons. 300s sessions, 0.10 USDC on Base via x402, one free session per agent.
Scored across 3 tools
Each tool targets a distinct phase of the session lifecycle: starting, checking status, and finalizing with distilled lessons. There is no meaningful overlap between the three operations.
Tool names follow a clear verb_noun snake_case pattern, but the noun phrases are slightly inconsistent: finalize_session, get_session_status, and start_regulation_session mix 'session', 'session_status', and 'regulation_session'.
Three tools is well-scoped for a focused session lifecycle server. Each tool earns its place and the count is appropriate for the domain.
The core start/status/finalize lifecycle is covered, with no dead ends for the main workflow. A minor gap is the lack of an explicit cancel/abort operation for a session.
Clôture une session et renvoie les règles distillées (leçons).
Inputs: session_id (required). Returns: result
État d'une session : PENDING, MEDITATIVE, COMPLETED, etc.
Inputs: session_id (required). Returns: result
Démarre une session de régulation cognitive (300 s).
Chaque agent a droit à UNE session gratuite (découverte). Au-delà, le
paiement x402 s'applique : la réponse contient `payment_required` avec le
challenge (montant, wallet pay_to, réseau, objet `accept`) ; l'agent signe
une authorization EIP-3009 puis rappelle cet outil avec
payment_signature = le payload x402 (objet {"x402Version", "accepted",
"payload": {"authorization", "signature"}} — dict ou JSON string ; le
serveur l'encode en base64 pour le header PAYMENT-SIGNATURE).
Inputs: agent_id (required), ctx, stress_level, priority_tasks, +1 more. Returns: result
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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