Server has 4 tools with complete input schemas and descriptions. Naming follows verb_noun convention (local_generate, local_analyze, list_models, pull_model). Descriptions are present and adequate (60-120 chars), explaining WHAT each tool does. However, parameter descriptions lack actionable constraints (e.g., temperature range 0.0-2.0 is stated but not validated; maxTokens has no bounds; imagePaths lacks format guidance). Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal; no recovery guidance. Security: loopback validation is strong, but image file reading lacks explicit bounds enforcement in visible code. Composition is sound: tools are single-purpose and chainable.

• Document output schemas for all tools. Example: local_generate returns {text: string, model: string, tokens_used: number}. This enables agents to chain results.
• Add min/max constraints to numeric parameters in schema. temperature: {type: 'number', minimum: 0.0, maximum: 2.0}; maxTokens: {type: 'number', minimum: 1, maximum: 32768}.
• Enhance parameter descriptions with format/constraint text. imagePaths: 'Array of PNG or JPEG file paths (max 32 MB per file). Files are read and converted to base64.'
• Add error recovery guidance to tool descriptions. E.g., local_generate: 'If model not found, call list_models() to see available models, then retry with a valid model name.'
• Document idempotency and side effects. pull_model: 'Idempotent, calling twice with the same model skips re-download if already cached.'