Server has 17 tools with basic naming and descriptions, but significant quality gaps. Tool names follow verb_noun convention (detect_, check_, analyze_, get_, wait_, submit_, list_, search_, history_*) which is good. However, descriptions are minimal (10-50 chars) and lack context for LLM selection. Input schemas are present but sparse, most parameters have only type and description, no enums or constraints. No output schemas documented. Error handling and recovery guidance absent. Security concerns: update_config accepts arbitrary object without validation. No pagination on list_* tools. Composition issues: history_rerun and history_delete are destructive but lack confirmation patterns.

• Expand all tool descriptions to 50-200 chars. Include WHAT the tool does, WHEN to use it (vs similar tools), and WHAT it returns. Example: 'Detect AI-generated content in text using statistical analysis. Use this for single-document analysis; use analyze_text for combined AI+plagiarism checks. Returns confidence score (0-1) and detection flags.'
• Document output schemas for all tools. Specify field names, types, and whether results are paginated. Example for detect_text: {"confidence": number, "is_ai_generated": boolean, "flags": [string], "analysis_id": string}.
• Add confirmation pattern to history_delete and history_clear. Require a confirm_delete parameter or return a confirmation_required error with a confirmation_token that must be passed in a follow-up call.
• Replace update_config's generic 'config' object with explicit, typed parameters (e.g., api_key, timeout_seconds, log_level). Document valid values and ranges. If config is truly dynamic, provide a schema or enum of supported keys.
• Add limit and offset parameters to history_list. Return total_count and next_offset in response.