Server has 5 tools with mixed quality. Tool naming follows verb_noun pattern (get_, set_, upload_, start_, get_) which is good. However, descriptions vary significantly in quality and completeness. Critical gaps: parameter descriptions are present but often lack constraint details (enums, ranges, formats); output schemas are not documented; error handling lacks recovery guidance; no tool annotations (readOnlyHint/destructiveHint). The code shows basic implementation but lacks production-grade polish expected for A/B tier. Average tool score: 52/100.

• Document output schemas for all tools. Define what fields appear in the 'data' object for each response. E.g., get_krillinai_configuration returns {error: int, msg: string, data: {krillinai_base_url: string}}. This enables LLMs to extract and chain results.
• Add constraint details to parameter descriptions. For 'target_lang' in start_krillinai_subtitle_task, replace free-form string with enum or document valid values explicitly: 'Target language code (e.g., zh_cn, zh_tw, en, ja, fr, es, de, etc., see Krillinai docs for full list).'
• Add tool annotations via FastMCP. Mark set_krillinai_base_url with destructiveHint=true, upload_file_to_krillinai with destructiveHint=true, and get_* tools with readOnlyHint=true. This signals to agents which tools modify state.
• Enhance error messages with recovery hints. E.g., 'File not found at {path}. Ensure the file exists or upload it first using upload_file_to_krillinai.' This guides LLM retry logic.
• Document parameter interdependencies in start_krillinai_subtitle_task. Add a note: 'vertical_major_title and vertical_minor_title only apply when embed_subtitle_video_type is "vertical" or "all". tts_voice_code and tts_voice_clone_src_file_url only apply when tts=true.'

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

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