This server has significant gaps in schema completeness and parameter documentation. While tool names follow verb-noun conventions (chain_of_draft_solve, math_solve, code_solve, etc.), the parameter documentation is inconsistent and many parameter descriptions lack actionable constraints. Output schemas are entirely undocumented, LLMs cannot know what structure to expect from responses. The server conflates multiple concerns in single tools (e.g., chain_of_draft_solve handles domain selection, word limit enforcement, and approach selection in one call, violating single-responsibility principle). Error handling guidance is absent. Schema validation rules (e.g., 'approach' should be constrained to 'CoD'|'CoT') are mentioned in descriptions but not formalized as enums. The Python implementation is visible but TypeScript tool definitions in src/index.ts are not fully shown in the provided code sample, making it impossible to verify complete schema definitions. Conservative scoring reflects these gaps.

• Document the response schema for every tool. Use structured output format: 'Returns: {reasoning_steps: string, final_answer: string, token_count: number, complexity: number, approach: string}'. This unblocks LLM composition.
• Convert 'approach' parameter to an enum: {type: 'string', enum: ['CoD', 'CoT', null], description: 'Force approach (CoD=Chain of Draft for brevity, CoT=Chain of Thought for detail) or null to auto-select based on complexity'}.
• Add min/max bounds to numeric parameters. E.g., max_words_per_step: {type: 'integer', minimum: 10, maximum: 500, default: null, description: 'Max words per step (10 - 500; null=adaptive based on domain)'}.
• Expand domain parameter to an explicit enum. If values are ['math', 'logic', 'code', 'common-sense', 'general'], declare them: {type: 'string', enum: ['math', 'logic', 'code', 'common-sense', 'general'], default: 'general'}.
• Rewrite get_token_reduction description to 50+ characters with actionable content: 'Compare token efficiency of Chain of Draft vs Chain of Thought approaches. Returns statistics on average tokens, cost savings, and performance trade-offs to inform approach selection.'
• Add error recovery hints. For chain_of_draft_solve, add: 'If reasoning fails or format constraint is violated, consider setting enforce_format=false or adaptive_word_limit=true to adjust limits dynamically.'
• Merge math_solve, code_solve, logic_solve into chain_of_draft_solve by using domain enum to dispatch. Each separate tool adds cognitive load without functional benefit.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry