Strategic Agent Reasoning (agent-reasoning-mcp)

This skill provides step-by-step guidance and operational patterns for interacting with @putervision/agent-reasoning-mcp with project slug "world-model-mcp".

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1. Role in the PuterVision Pentad

• Workflow State (state-memory-mcp): Persistent task DAGs, decisions, milestones, and blockers.
• Perception (vision-memory-mcp): Visual layout caching, screenshots, and visual specifications.
• Spatial World (world-model-mcp): Persistent 3D/2D coordinates, bounding boxes, and topological relations.
• Strategic Reasoning (agent-reasoning-mcp): BDI goal decomposition, multi-attribute expected utility calculation, belief decay, risk assessment, and replanning.
• Tactical Execution (behavior-mcp): Deterministic ~60Hz browser behavior tree execution and reactive preemption.

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2. Core Operational Sequence

1. Initialize Objectives: Call set_goal with action: "create" to define top-level goals and action: "decompose" to establish subgoals.
2. Configure Utility Profile: Tune agent priorities using set_utility_weights (aggression, caution, greed, exploration).
3. Situational Trade-off Scoring: Call evaluate_situation with action: "snapshot" to rank candidate actions using Pareto utility theory.
4. Intention Dispatch: Translate chosen action into an execution directive via manage_intentions.
5. Reactive Replanning: If an unexpected obstacle or blocker emerges, invoke replan.

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3. Complete 15 Consolidated MCP Tools Reference

Tool Name	Key Actions	Key Parameters	Description
set_goal	create, update, get, list, decompose, archive	title, description, priority, parent_id, subgoals	Hierarchical BDI goal management and task DAG decomposition.
evaluate_situation	snapshot, quick	snapshot, candidates, utility_profile	Multi-attribute utility evaluation ranking candidate actions from environment state.
replan	blocker, recovery, alternative	goal_id, blocker_description, strategy	Adaptive DAG reconstruction and alternative path discovery upon obstacles.
assess_risk	assess, matrix	hazards, tolerance, mitigations	Quantitative threat matrix and probabilistic risk scoring.
query_knowledge	search, lookup, heuristics	query, category, tags	Knowledge retrieval of past decision heuristics and domain heuristics.
set_utility_weights	configure, get, list, profile	name, weights (aggression, caution, greed, exploration)	Utility weight tuning and personality profile management.
get_decision_trace	get, list, explain	trace_id, limit	Explainable chain-of-thought rationale playback and auditing.
manage_beliefs	set, get, decay, list	key, value, confidence, decay_rate	Structured belief state with temporal exponential confidence decay.
manage_intentions	create, get, list, dispatch, cancel	goal_id, behavior_name, parameters	Execution directives queue connecting strategic plans to runtime engines.
manage_reasoning_db	stats, audit, snapshot, restore, prune	action, name, description	Database diagnostics, snapshots, and SHA-256 Merkle audit verification.
classify	evaluation	category, input, taxonomy, state_pack	Zero-LLM deterministic classification against hierarchical taxonomy (<2ms SLA).
ask_noul	evaluation	condition, state_pack, threshold	Fast binary (Yes/No/Abstain) heuristic gate evaluating conditions (<2ms SLA).
ask_choice	evaluation	choices, context, state_pack	Deterministic multi-alternative selection ranking candidate choices (<2ms SLA).
ask_score	evaluation	target, metric, scale, state_pack	Heuristic utility evaluation scoring target entities on a bounded scale (<2ms SLA).
gate_intention	evaluation	project, proposed_action, state_pack	Fast-path safety & feasibility filter checking preconditions before execution (<1ms SLA).