ontomcp-driver

name	ontomcp-driver
description	Use OntoSkills MCP tools to discover and apply structured skill knowledge.

Tools

• prefetch_knowledge — One call: search + fetch context + compact. Use this first.
• search — Find skills by keyword, alias, or structured filters.
• get_skill_context — Full skill context with knowledge nodes (procedures, constraints, anti-patterns).
• evaluate_execution_plan — Validate a multi-skill plan against state chains.
• query_epistemic_rules — Cross-skill knowledge rules filtered by kind/severity.

Responses are compact by default. Use format: "raw" for full JSON.

Workflow

1. Call prefetch_knowledge with a query describing the task goal.
2. Read the returned knowledge nodes — they contain procedures, constraints, and anti-patterns.
3. For multi-skill plans: call evaluate_execution_plan to validate state chains.
4. Write code following the knowledge nodes.

Critical rules

• Always prefetch first — don't guess skill names.
• CRITICAL/HIGH severity nodes are hard constraints — never skip them.
• Check requiresState — skills fail without their preconditions.

State semantics

Skills form a state machine: requiresState (preconditions) / yieldsState (outcomes). Skill A's yieldsState must match Skill B's requiresState for valid chaining.