@emmahyde/thinking-patterns/dist/src/schemas/DecisionFrameworkSchema.js

MCP server combining systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive cognitive pattern support

import { z } from 'zod';
/**
 * Decision Framework Schema
 *
 * Defines the structure for structured decision analysis and rational choice
 * frameworks. Supports multi-criteria analysis, expected utility calculations,
 * and systematic evaluation of decision options.
 */
// Decision Framework Schema
export const DecisionOptionSchema = z.object({
    id: z.string().optional().describe("A unique identifier for the decision option."),
    name: z.string().describe("The name of the decision option."),
    description: z.string().describe("A detailed description of the decision option."),
});
export const DecisionCriterionSchema = z.object({
    id: z.string().optional().describe("A unique identifier for the decision criterion."),
    name: z.string().describe("The name of the decision criterion."),
    description: z.string().describe("A detailed description of the decision criterion."),
    weight: z.number().min(0).max(1).describe("The weight of the criterion in the decision (0-1)."),
    evaluationMethod: z.enum(["quantitative", "qualitative", "boolean"]).describe("The method used to evaluate the criterion."),
});
export const CriterionEvaluationSchema = z.object({
    criterionId: z.string().describe("The ID of the criterion being evaluated."),
    optionId: z.string().describe("The ID of the option being evaluated against the criterion."),
    score: z.number().min(0).max(1).describe("The score of the option against the criterion (0-1)."),
    justification: z.string().describe("The justification for the score."),
});
export const PossibleOutcomeSchema = z.object({
    id: z.string().optional().describe("A unique identifier for the possible outcome."),
    description: z.string().describe("A detailed description of the possible outcome."),
    probability: z.number().min(0).max(1).describe("The probability of this outcome occurring (0-1)."),
    value: z.number().describe("The value of this outcome."),
    optionId: z.string().describe("The ID of the option this outcome is associated with."),
    confidenceInEstimate: z.number().min(0).max(1).describe("A confidence score (0-1) in the probability and value estimates."),
});
export const InformationGapSchema = z.object({
    description: z.string().describe("A description of the information gap."),
    impact: z.number().min(0).max(1).describe("The potential impact of this information gap on the decision (0-1)."),
    researchMethod: z.string().describe("The method for researching and filling this information gap."),
});
export const DecisionFrameworkSchema = z.object({
    decisionStatement: z.string().describe("A clear and concise statement of the decision to be made."),
    options: z.array(DecisionOptionSchema).describe("A list of the options being considered."),
    criteria: z.array(DecisionCriterionSchema).optional().describe("A list of the criteria used to evaluate the options."),
    stakeholders: z.array(z.string()).optional().describe("A list of stakeholders involved in the decision."),
    constraints: z.array(z.string()).optional().describe("A list of constraints on the decision."),
    timeHorizon: z.string().optional().describe("The time horizon for the decision."),
    riskTolerance: z.enum(["risk-averse", "risk-neutral", "risk-seeking"]).optional().describe("The risk tolerance for the decision."),
    possibleOutcomes: z.array(PossibleOutcomeSchema).optional().describe("A list of possible outcomes for the decision."),
    criteriaEvaluations: z.array(CriterionEvaluationSchema).optional().describe("A list of evaluations of the options against the criteria."),
    informationGaps: z.array(InformationGapSchema).optional().describe("A list of information gaps that need to be filled."),
    analysisType: z.enum(["expected-utility", "multi-criteria", "maximin", "minimax-regret", "satisficing"]).describe("The type of analysis to be performed."),
    stage: z.enum(["problem-definition", "options", "criteria", "evaluation", "analysis", "recommendation"]).describe("The current stage of the decision-making process."),
    recommendation: z.string().optional().describe("The final recommendation."),
    sensitivityInsights: z.array(z.string()).optional().describe("A list of insights from sensitivity analysis."),
    expectedValues: z.record(z.number()).optional().describe("A record of the expected values for each option."),
    multiCriteriaScores: z.record(z.number()).optional().describe("A record of the multi-criteria scores for each option."),
    decisionId: z.string().describe("A unique identifier for this decision."),
    iteration: z.number().describe("The iteration number of this decision-making process."),
    suggestedNextStage: z.string().optional().describe("The suggested next stage in the decision-making process."),
    nextStageNeeded: z.boolean().describe("A flag indicating whether another stage is needed."),
});