Two tools present with basic schemas but significant quality gaps. RetrieverTool has a schema with 'query' and 'k' parameters, but descriptions are minimal (under 100 chars). DocumentSearchTool lacks visible schema definition in provided code. Both tools have generic descriptions that don't explain WHEN to use them or what distinguishes them. No parameter descriptions beyond the query field. No output schema documentation. Error handling is absent from tool definitions. The code shows retriever_tool instantiation but DocumentSearchTool is referenced but not defined in the provided source.

• Add explicit output schema to both tools. Document that RetrieverTool returns an array of objects with 'content' (string), 'metadata' (object), and optionally 'similarity_score' (float). Include example response structure.
• Expand tool descriptions to 80-150 characters. For RetrieverTool: 'Search the vector database for documents similar to a query. Use this to find relevant context before answering questions. Returns up to k documents ranked by similarity.' For DocumentSearchTool: clarify how it differs (e.g., 'Uses FAISS index for faster search; returns similarity scores').
• Add descriptions to all parameters. For 'k': 'Number of top results to return (1-50, default 3). Higher values return more context but increase token usage.' For 'query': 'The search query as natural language text. Converted to embeddings internally.'
• Document error cases and recovery. E.g., 'If no documents found, the tool returns an empty list. Suggest the user rephrase their question or check if documents are loaded in the vector database.'
• Distinguish the two search tools clearly. If DocumentSearchTool is a faster variant, state that in its description and explain when to prefer it over RetrieverTool (e.g., 'Use for real-time queries where latency matters'). If they serve different purposes, make that explicit.

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

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