Strategic Risk Simulation

Conducts probabilistic risk simulations using a Monte Carlo-style approach on a provided strategic context and a set of scenarios. Accepts two inputs: context, a required string describing the strategic environment, assumptions, constraints, and objectives; and scenarios, a required string containing a JSON array of scenario objects, where each scenario defines fields such as 'name', 'probability', and 'impact_factors'. The scenarios JSON must be parsed and treated as the authoritative definition of scenario structure and parameters. The tool generates structured results capturing potential failure modes, likelihoods, and high-impact divergences to inform decision-making. The final output must strictly validate against the system-provided structured output JSON schema (auto-produced and referenced via schemaArtifactId), with no extra fields and with all types, enums, and ranges correctly respected.