Single tool with basic structure but significant gaps. Tool name 'search_katalon_knowledge_base' follows verb_noun convention (+). Description is present but generic (47 chars, below 50-200 char baseline for LLM optimization). Input schema exists with 'query' parameter typed as string, but parameter lacks description explaining what constitutes a valid search query, format constraints, or examples. Output schema is not documented, callers cannot predict the structure of results. Error handling is minimal: errors are caught and logged server-side but not returned to the client with recovery guidance. No pagination support despite knowledge base searches likely returning variable result counts.

• Add parameter description for 'query': 'Search query string (1-500 chars). Supports keywords, phrases, and boolean operators (AND, OR, NOT). E.g. "Salesforce testing" or "mobile AND automation".'
• Document output schema in tool description or via structured response type. Specify: array of result objects with fields {text: string, link: string, source: string, relevance_score: number}.
• Add pagination: accept 'limit' (1-50, default 20) and 'offset' (default 0) parameters. Return total_count and next_offset in response.
• Enhance error handling: return structured error responses with error_code, message, and recovery_hint. E.g. {error: 'QUERY_TOO_BROAD', message: 'Query returned >1000 results', hint: 'Refine with more specific keywords'}.
• Expand tool description to 100-150 chars: 'Search the Katalon knowledge base for documentation, guides, and FAQs. Use for troubleshooting, feature discovery, and best practices. Returns ranked results with links to full articles.'

Inferred effective spec: 2026-07-28+.

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