mcp-ai-agent-guidelines
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A comprehensive Model Context Protocol server providing advanced tools, resources, and prompts for implementing AI agent best practices
42 lines • 1.5 kB
TypeScript
import { z } from "zod";
/**
* Prompting Hierarchy Levels
* Inspired by educational support hierarchies and HPT (Hierarchical Prompting Taxonomy)
*
* Levels from least to most supportive/specific:
* 1. Independent - Minimal guidance, agent operates autonomously
* 2. Indirect - Subtle hints, environmental cues
* 3. Direct - Clear instructions without specific steps
* 4. Modeling - Examples and demonstrations
* 5. Scaffolding - Step-by-step guidance with support
* 6. Full Physical - Complete detailed specification
*/
export declare const PromptingHierarchyLevel: z.ZodEnum<["independent", "indirect", "direct", "modeling", "scaffolding", "full-physical"]>;
export type PromptingHierarchyLevel = z.infer<typeof PromptingHierarchyLevel>;
/**
* Numeric Evaluation Schema
* Reinforcement Learning inspired scoring system
*/
export interface NumericEvaluation {
overallScore: number;
clarity: number;
specificity: number;
completeness: number;
structure: number;
hierarchyLevel: PromptingHierarchyLevel;
hierarchyScore: number;
cognitiveComplexity: number;
predictedEffectiveness: number;
confidence: number;
}
export interface HierarchyLevelDefinition {
level: PromptingHierarchyLevel;
name: string;
description: string;
characteristics: string[];
examples: string[];
useCases: string[];
cognitiveLoad: "low" | "medium" | "high";
autonomyLevel: "high" | "medium" | "low";
}
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