Single tool 'query_vector_store' has a reasonable schema with typed parameters (query: string, limit: number, filter_type: string) and basic descriptions. However, the tool description is extremely weak (only 'The question to ask about OpenDental documentation.', 54 chars, below the 10-1024 char guideline sweet spot). Parameter descriptions are minimal and lack actionable guidance. No output schema is documented, the tool returns unstructured text with embedded search results rather than structured objects. No error handling guidance. The server exposes only one tool with limited composition potential. Tool naming 'query_vector_store' is acceptable but generic; 'search_documentation' would be clearer. No pagination support despite potentially returning many results. Missing per-parameter constraints (e.g., limit range, filter_type enum values).

• Expand tool description to 100-200 chars: 'Search OpenDental documentation by semantic similarity. Returns up to 5 matching sections with titles, types, and relevance scores. Use this to answer questions about API, database schema, manual procedures, or relationships.'
• Define output schema as structured JSON: {results: [{title: string, type: string, text: string, score: number}], total: number, next_cursor?: string}. Return this instead of markdown text.
• Add enum constraint to filter_type: {type: 'string', enum: ['api', 'database', 'manual', 'relationship'], description: 'Filter results by document type. Omit to search all types.'}
• Add bounds to limit parameter: {type: 'number', minimum: 1, maximum: 50, default: 5, description: 'Maximum number of results to return (1-50, default 5).'}
• Implement pagination: add offset parameter (default 0) and return total count in response. Document in description: 'Supports pagination via offset and limit. Returns total count to enable multi-page queries.'