Single tool with good naming and clear description, but with noticeable gaps in parameter documentation and output schema definition. The tool name 'search_roam_pages' properly uses the verb_noun pattern and clearly conveys its action. The description (234 chars) exceeds the rubric baseline (194 avg) and includes helpful context about semantic search, when to use it, and examples. However, parameter descriptions lack constraint details and the output schema is undocumented in the source code, only mentioned in docstring prose rather than formal JSON Schema. Error handling returns JSON strings but provides minimal recovery guidance. The server lacks validation guidance for the threshold range (0.0-1.0) and match_count limit (max 50) in the source code implementation.

• Register an explicit OutputSchema with fastmcp documenting the response structure: { query: string, results: Array<{uid: string, text: string, similarity: number}>, total_matches: integer }. This enables LLMs to plan downstream operations with confidence.
• Add min/max constraints to the fastmcp parameter definitions: match_count with minimum=1, maximum=50; threshold with minimum=0.0, maximum=1.0. These become part of the MCP schema and prevent invalid values.
• Enhance error messages with actionable recovery steps. Example: 'Failed to get embedding: check OPENAI_API_KEY environment variable is set and valid' and 'Failed to search pages: verify SUPABASE_URL and SUPABASE_KEY are correct.'
• Implement optional pagination: add offset (default 0) and limit (default 5, max 50) parameters. Return total_available_matches in response so agents know if more results exist.
• Align default threshold value: decide whether 0.7 (precise) or 0.5 (exploratory) is the standard, and document in code and docstring consistently.