Single tool 'search' has a well-structured schema with all parameters typed and described. Tool name starts with action verb 'search' and clearly describes hybrid text/vector search. Input schema includes proper validation (minimum=1, maximum=100 for limit). Output is structured via SearchResults Pydantic model. However, descriptions are generic without LLM-optimized guidance on WHEN to use the tool or what makes it preferable to alternatives. No error handling patterns visible in tool definition. Tool annotations are present (ToolAnnotations imported and registered) but underutilized. Missing guidance on rate limits, API failures, or retry behavior.

• Expand tool description to 100-150 chars explaining when to use: 'Search Hacker News stories using hybrid text (keyword) and vector (semantic) search. Use when searching by topic, keyword, or concept across stories. Returns up to 100 stories with title, score, submitter, and URL.'
• Document HackerNewsStory output schema in tool description or add a schema field showing what fields are returned (title, id, score, time, url, submitter, etc.)
• Add error recovery guidance to description: 'If search returns no results, try simplifying the query or widening the time window. If connection fails, retry after a short delay.'
• Explicitly declare datetime format in from_time/to_time descriptions: 'ISO 8601 format: YYYY-MM-DDTHH:MM:SSZ (e.g., 2024-01-01T00:00:00Z). Timezone: UTC.'
• Add a 'timeout' error case to the tool: 'If search takes >30s, it times out. Simplify query or reduce limit parameter and retry.'
• Consider adding a 'sort_by' parameter (enum: relevance|score|time) to give agents control over result ordering, especially for vector search results where relevance may not match user expectations.

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

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