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designpattern

Apply design patterns to solve software architecture challenges, including modular architecture, API integration, state management, and security best practices.

Instructions

A tool for applying design patterns to software architecture and implementation. Supports various design patterns including:

  • Modular Architecture

  • API Integration Patterns

  • State Management

  • Asynchronous Processing

  • Scalability Considerations

  • Security Best Practices

  • Agentic Design Patterns

Each pattern provides a structured approach to solving common design challenges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternNameYes
contextYes
implementationNo
benefitsNo
tradeoffsNo
codeExampleNo
languagesNo

Implementation Reference

  • The processPattern method handles the tool logic, including validation, output formatting, and result encapsulation.
      public processPattern(input: unknown): { content: Array<{ type: string; text: string }>; isError?: boolean } {
        try {
          const validatedInput = this.validatePatternData(input);
          const formattedOutput = this.formatPatternOutput(validatedInput);
          console.error(formattedOutput);
    
          return {
            content: [{
              type: "text",
              text: JSON.stringify({
                patternName: validatedInput.patternName,
                status: 'success',
                hasImplementation: validatedInput.implementation.length > 0,
                hasCodeExample: !!validatedInput.codeExample
              }, null, 2)
            }]
          };
        } catch (error) {
          return {
            content: [{
              type: "text",
              text: JSON.stringify({
                error: error instanceof Error ? error.message : String(error),
                status: 'failed'
              }, null, 2)
            }],
            isError: true
          };
        }
      }
    }
  • The DesignPatternData interface defines the structure for the design pattern data.
    export interface DesignPatternData {
        patternName: string;
        context: string;
        implementation: string[];
        benefits: string[];
        tradeoffs: string[];
        codeExample?: string;
        languages?: string[];
    }
    
    // Programming Paradigms
  • src/index.ts:1056-1059 (registration)
    The tool is registered and handled within the main server switch-case logic in index.ts.
    }
    case "designpattern": {
        const result = designPatternServer.processPattern(
            request.params.arguments
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, yet the description fails to disclose what the tool actually produces (documentation? code templates? analysis?). No mention of side effects, persistence, or response format. 'Provides a structured approach' is vague marketing language with no concrete behavioral guarantees.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Bullet list improves readability but redundantly duplicates enum values already in the schema. First sentence is front-loaded with the core concept, though the final sentence ('Each pattern provides...') adds minimal value beyond repetition of 'structured approach'.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 7 parameters, 0% schema coverage, and no output schema, the description should heavily compensate to explain inputs and outputs. Instead, it leaves parameter purposes ambiguous and fails to describe return values, making it inadequate for a tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, yet the description only maps patternName enum values without explaining parameter semantics. Critical ambiguity remains: are 'implementation', 'benefits', 'tradeoffs', and 'codeExample' inputs the user provides, or outputs the tool generates? The description must resolve this since the schema is undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

States 'applying design patterns to software architecture' which identifies the domain, but 'applying' is vague regarding the actual mechanism (generating code, explaining concepts, validating structure?). Does distinguish from siblings like 'mentalmodel' or 'scientificmethod' by focusing specifically on software architecture.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Lists supported pattern categories but provides no guidance on when to use this tool versus siblings like 'programmingparadigm' (which overlaps conceptually) or when to select specific patterns. No prerequisites or exclusions mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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