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Connectry-io

Connectry Architect Cert

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by Connectry-io

get_practice_question

Retrieve practice questions for Claude Certified Architect exam preparation, prioritizing review items and weak areas to improve knowledge retention.

Instructions

Get the next practice question. Prioritizes review questions, then weak areas, then new material.

IMPORTANT — present the question using AskUserQuestion:

  • header: "Answer"

  • question: Include the FULL scenario text AND question text from the response

  • options: 4 items with label "A"/"B"/"C"/"D" and description as the option text

  • If the scenario contains code, add a "preview" field on each option showing the code snippet Then call submit_answer with the questionId and selected answer. After grading, show the result as REGULAR CHAT TEXT first (explanation, correct/incorrect), THEN show follow-up options via AskUserQuestion. Explanations must be readable in the main chat, not hidden behind cards.

EDGE CASES:

  • "Other": Answer the user's question, then re-present the SAME question via AskUserQuestion.

  • "Skip": Call get_practice_question again for a new question. Never break the flow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainIdNoOptional domain ID to filter questions (1-5)
difficultyNoOptional difficulty filter

Implementation Reference

  • The handler function within `server.tool` that implements the logic for selecting and presenting a practice question.
      async ({ domainId, difficulty }) => {
        const userId = userConfig.userId;
        ensureUser(db, userId);
        const answeredIds = getAnsweredQuestionIds(db, userId);
        const overdueReviews = getOverdueReviews(db, userId);
        const weakAreas = getWeakAreas(db, userId);
        let questions = loadQuestions(domainId);
        if (difficulty) {
          questions = questions.filter(q => q.difficulty === difficulty);
        }
        const question = selectNextQuestion(questions, overdueReviews, weakAreas, answeredIds);
        if (!question) {
          return {
            content: [{ type: 'text' as const, text: 'No more questions available for the selected criteria. Try a different domain or difficulty.' }],
          };
        }
    
        const questionText = formatQuestionText(question);
    
        const elicitOptions = OPTION_KEYS.map(key => ({
          value: key,
          title: `${key}. ${question.options[key]}`,
        }));
    
        const selectedAnswer = await elicitSingleSelect(
          server,
          questionText,
          'answer',
          elicitOptions,
        );
    
        if (selectedAnswer) {
          const responseText = [
            questionText,
            '',
            '---',
            '',
            `**Selected answer: ${selectedAnswer}**`,
            '',
            `Use submit_answer with questionId "${question.id}" and answer "${selectedAnswer}" to grade this response.`,
          ].join('\n');
    
          return {
            content: [{ type: 'text' as const, text: responseText }],
            _meta: buildQuizMeta(),
          };
        }
    
        const fallbackText = [
          questionText,
          '',
          '---',
          '',
          `Question ID: ${question.id}`,
          '',
          'Use submit_answer with the question ID and your chosen answer (A, B, C, or D) to check your response.',
        ].join('\n');
    
        return {
          content: [{ type: 'text' as const, text: fallbackText }],
          _meta: buildQuizMeta(),
        };
      }
    );
  • Zod schema defining the input arguments for `get_practice_question`.
    {
      domainId: z.number().optional().describe('Optional domain ID to filter questions (1-5)'),
      difficulty: z.enum(['easy', 'medium', 'hard']).optional().describe('Optional difficulty filter'),
    },
  • Registration function that defines the MCP tool name, description, schema, and handler.
    export function registerGetPracticeQuestion(server: McpServer, db: Database.Database, userConfig: UserConfig): void {
      server.tool(
        'get_practice_question',
        `Get the next practice question. Prioritizes review questions, then weak areas, then new material.
    
    IMPORTANT — present the question using AskUserQuestion:
    - header: "Answer"
    - question: Include the FULL scenario text AND question text from the response
    - options: 4 items with label "A"/"B"/"C"/"D" and description as the option text
    - If the scenario contains code, add a "preview" field on each option showing the code snippet
    Then call submit_answer with the questionId and selected answer. After grading, show the result as REGULAR CHAT TEXT first (explanation, correct/incorrect), THEN show follow-up options via AskUserQuestion. Explanations must be readable in the main chat, not hidden behind cards.
    
    EDGE CASES:
    - "Other": Answer the user's question, then re-present the SAME question via AskUserQuestion.
    - "Skip": Call get_practice_question again for a new question. Never break the flow.`,
        {
          domainId: z.number().optional().describe('Optional domain ID to filter questions (1-5)'),
          difficulty: z.enum(['easy', 'medium', 'hard']).optional().describe('Optional difficulty filter'),
        },
        async ({ domainId, difficulty }) => {
          const userId = userConfig.userId;
          ensureUser(db, userId);
          const answeredIds = getAnsweredQuestionIds(db, userId);
          const overdueReviews = getOverdueReviews(db, userId);
          const weakAreas = getWeakAreas(db, userId);
          let questions = loadQuestions(domainId);
          if (difficulty) {
            questions = questions.filter(q => q.difficulty === difficulty);
          }
          const question = selectNextQuestion(questions, overdueReviews, weakAreas, answeredIds);
          if (!question) {
            return {
              content: [{ type: 'text' as const, text: 'No more questions available for the selected criteria. Try a different domain or difficulty.' }],
            };
          }
    
          const questionText = formatQuestionText(question);
    
          const elicitOptions = OPTION_KEYS.map(key => ({
            value: key,
            title: `${key}. ${question.options[key]}`,
          }));
    
          const selectedAnswer = await elicitSingleSelect(
            server,
            questionText,
            'answer',
            elicitOptions,
          );
    
          if (selectedAnswer) {
            const responseText = [
              questionText,
              '',
              '---',
              '',
              `**Selected answer: ${selectedAnswer}**`,
              '',
              `Use submit_answer with questionId "${question.id}" and answer "${selectedAnswer}" to grade this response.`,
            ].join('\n');
    
            return {
              content: [{ type: 'text' as const, text: responseText }],
              _meta: buildQuizMeta(),
            };
          }
    
          const fallbackText = [
            questionText,
            '',
            '---',
            '',
            `Question ID: ${question.id}`,
            '',
            'Use submit_answer with the question ID and your chosen answer (A, B, C, or D) to check your response.',
          ].join('\n');
    
          return {
            content: [{ type: 'text' as const, text: fallbackText }],
            _meta: buildQuizMeta(),
          };
        }
      );
    }

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