Single tool with reasonable structure but notable gaps in parameter descriptions and output documentation. The tool name 'calculate_sizing_requirements' uses a clear action verb and accurately reflects its purpose. The description is adequate (168 chars) and explains the tool's purpose, but parameters lack sufficient detail for LLM self-correction. Input schema is well-formed with nested object types, but output schema is only documented in docstring prose, not as a formal schema definition. No error handling guidance is provided to help agents recover from invalid sizing configurations.

• Add formal output schema as a JSON Schema definition documenting all 5 return fields (StorageGb: number, RAMGb: number, vCPU: integer, LexicalDocs: integer, suggested_instance: string enum | 'Custom sizing required').
• Document required vs optional fields in nested parameter objects. Create a schema snippet showing that lexical_sizing/vector_sizing both require num_documents and fields, while quantization_settings is optional.
• Add enum constraints to field_type parameter: valid values are String, Autocomplete, Embedded (lexical) and Vector (vector). Include in parameter descriptions, not just as inferred from code.
• Specify numeric ranges: qps (1-10000), latency (0.001-10.0 seconds), dimensions (1-3072), num_documents (1-1e9). Make these explicit in descriptions to prevent hallucination.
• Implement try-catch in the tool to catch missing keys and provide actionable error messages like: 'lexical_sizing missing required field: num_documents (int >= 1). lexical_sizing missing required field: fields (array of field objects).'
• Document the suggested_instance return value as: 'One of S20, S30, S40, S50, S60, S70, S80 if a suitable instance exists, or "Custom sizing required. No suitable instance found." if requirements exceed S80.'
• Replace prose examples with formal constraints. Instead of 'Example: {"num_documents": 1000000, ...}', provide 'Required fields: num_documents (integer, 1 - 1e9), qps (number, 1 - 10000), latency (number, 0.001 - 10.0), fields (array). field_type enum: String|Autocomplete|Embedded.'