You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
In production, you observe that simple fact-checking queries (e.g., "What year was the Paris Climate Agreement signed?") traverse all four subagents sequentially, consuming 40+ seconds and significant tokens per query. Complex comparative research benefits from the full pipeline.
Your query distribution is diverse and evolving as users discover new applications. What's the most effective approach to optimize for varying query complexity?

• A. Have the coordinator analyze each query and dynamically decide which subagents to invoke based on its assessment of query requirements.
• B. Create a fast-path for factual questions that bypasses subagents entirely, routing all other queries through the complete pipeline to ensure research thoroughness.
• C. Implement pattern-based routing that categorizes queries by structure (single-fact vs.
  comparative vs. analytical) and maps each category to a predefined subagent combination.
• D. Train a query complexity classifier on labeled historical data to predict optimal subagent combinations, retraining periodically as query patterns evolve.

You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
Your system must extract event details from calendar invitations and output JSON that strictly conforms to a schema with fields for title, date, time, location, and attendees. Downstream systems reject any malformed or non-conformant JSON.
What approach provides the most reliable schema compliance?

• A. Include detailed JSON formatting instructions and the target schema in your prompt, then parse Claude's text response as JSON.
• B. Append instructions like "Output only valid JSON matching the schema exactly" and implement retry logic to re-prompt when JSON parsing fails.
• C. Define a tool with your target schema as input parameters and have Claude call it with the extracted data.
• D. Pre-fill Claude's response with an opening brace to force JSON output, then complete and parse the response.

Which practice MOST improves prompt maintainability?

• A. One paragraph containing all instructions.
• B. Random ordering.
• C. Minimal punctuation.
• D. Clearly separated sections with headings.

You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
You've asked Claude to write a data migration script, but the initial output doesn't correctly handle records with null values in required fields. What's the most effective way to iterate toward a working solution?

• A. Add "think harder about edge cases" to your prompt and request a complete rewrite of the migration logic.
• B. Describe the null value problem in detail and ask Claude to regenerate the entire script with improved edge case handling.
• C. Manually edit the generated code to fix the null handling, then continue working with Claude on other parts.
• D. Provide a test case with example input containing null values and the expected output, then ask Claude to fix it.

Your MCP server implements a check_availability tool that queries an external calendar API.
During testing, you encounter three error conditions: (1) the tool is called with a malformed request missing the required user_email parameter, (2) the calendar API returns a 404 because the specified user doesn't exist in the calendar system, and (3) the calendar API returns a 503 because the service is temporarily unavailable. How should each error be reported according to MCP's error handling design?

• A. Report errors 1 and 2 as JSON-RPC protocol errors; report error 3 as a tool result with isError:
  true.
• B. Report all three as JSON-RPC protocol errors.
• C. Report error 1 as a JSON-RPC protocol error; report errors 2 and 3 as tool results with isError:
  true.
• D. Report all three as tool results with isError: true.