Three tools with complete schemas and descriptions, but significant gaps in parameter documentation, output schema clarity, and error handling. Tool names lack action verbs (datasets, query, metadata are nouns). Descriptions are adequate (100-200 chars) but lack WHEN/WHY guidance. Parameter descriptions exist but omit constraints, ranges, and format details. No documented output schemas, error recovery guidance, or examples of chaining IDs between tools. The 'query' tool accepts free-form SoQL strings without validation hints, inviting malformed queries.

• Rename tools to action verbs: 'search_datasets', 'query_dataset', 'get_dataset_metadata'. This clarifies intent and matches LLM expectations (90% of A+ tools start with verbs).
• Document output schemas for each tool. E.g., datasets returns {results: [{resource_id, name, description, category, updated_at}], total_count}. Specify which Socrata fields are stripped.
• Add JSON Schema constraints: limit with minimum/maximum; resource_id with pattern (e.g., '^[a-z0-9]{4,8}$'); where/select/group/order with description linking to SoQL syntax guide.
• Enhance error handling in callTool(). Catch fetch errors and return structured errors: {error: 'Invalid resource_id', suggestion: 'Call search_datasets() first', retryable: true}.
• Add tool composition hints in descriptions. E.g., datasets description: 'Returns resource_id, pass to query_dataset() or get_dataset_metadata().' This guides multi-step planning.