Single tool 'get' has a well-structured schema with 12 parameters, all typed and described. Description is comprehensive (280+ chars) and explains multiple query modes (ID lookup, shape, search, comparison). However, output schema is not formally documented, only inferred from markdown formatting code. Parameter descriptions contain example values (e.g., 'doi:10.1021/...', 'Pd', '111') which LLMs may reuse literally. Error handling returns markdown strings but lacks actionable recovery guidance. No tool annotations (readOnlyHint, etc.) despite being read-only. Naming is clear and verb-based ('get'). Composition is sound, single responsibility. Missing: enum constraints for categorical params (facet, functional, database, sort), explicit output schema documentation, and error classification.

• Add formal output schema documentation. Define a structured response object with fields: {total: int, page: int, results: [{id, catalyst, facet, reactants, products, energy, barrier, functional, database, citation}], shape: {catalysts, facets, energy_range, barrier_range, functionals}}. Return JSON instead of markdown, or return both with a 'format' parameter.
• Replace example values in descriptions with enum constraints. E.g., 'facet: Miller index (enum: 100, 110, 111, 211, etc.)' instead of 'facet: Miller index ("111", "100")'. Use JSON Schema enum arrays.
• Add enum constraints for categorical parameters: facet (list of valid Miller indices), functional (list of supported DFT methods), database (list of available sources), sort (list of sortable fields). Validate against these server-side.
• Enhance error handling with categorization and recovery hints. E.g., 'ChemdbError: Invalid catalyst composition. Valid formats: single element (Pd), comma-separated (Pd,Pt,Cu), or comparison syntax. Try: get(catalyst="Pd") or get(catalyst="Pd,Pt,Cu").'
• Add readOnlyHint annotation to the 'get' tool definition to signal to clients that this tool is safe to call without confirmation.