This is a multi-framework demo repository with minimal tooling. Only 1 tool is visible: 'sample_tool' in agent/strands-adt/src/tools/sample_tool.py. The tool has a basic description and minimal input schema. The repository contains autogen, strands, and vercel agents but the actual tool implementations are not visible in the source provided, only framework boilerplate, Dockerfiles, and requirements. The sample_tool definition is extremely simple and lacks the rigor needed for production agent use. No evidence of error handling, output schema documentation, or parameter validation. The tool is read-only, which is low-risk, but the definition quality is poor.

• Rename 'sample_tool' to a verb-noun pattern: 'echo_greeting', 'send_echo', or 'process_message_echo'. This immediately clarifies intent.
• Expand the description from 1 sentence to 2-3 sentences: 'Echoes back a user message prefixed with a greeting. Use this tool to confirm message receipt or demonstrate round-trip communication. Returns the greeting and the echoed message.' This answers WHAT, WHEN, and WHAT-IT-RETURNS.
• Document the output schema: { greeting: string, echoed_message: string, timestamp: ISO8601 } or equivalent. LLMs need this to plan downstream calls.
• Add input constraints: min length 1, max length 1000 characters. Forbid null. Return a validation error if violated.
• Add error handling guide: 'If message is null, return error: Message cannot be empty. If message exceeds 1000 chars, return error: Message too long (max 1000 chars). If echo fails, retry with exponential backoff.'
• Remove 'sample' from tooling and add domain-specific tools: search_articles, retrieve_article, list_topics, etc. A 'demo' with only one placeholder tool does not demonstrate agent capability.
• Add tool annotations: mark as readOnlyHint=true since it echoes without side effects (idempotent operation pattern).

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry