The server provides 5 read-only tools for YouTube transcript extraction with generally clear names and descriptions. However, there are significant quality gaps: (1) tool descriptions are inconsistent in depth and some parameters lack detailed guidance; (2) schemas are present but parameter descriptions in the schema do not always match the natural-language descriptions in tool documentation; (3) no output schemas are documented, leaving LLMs to guess at response structure; (4) error handling is minimal, the code catches YouTubeTranscriptError but provides no recovery guidance; (5) tool composition is reasonable but there is semantic overlap between get_transcripts and get_transcript (both are aliases). The naming convention (verb_noun: get_transcripts, get_video_info) is solid. Descriptions average ~200 chars, which is within baseline (194 chars). However, parameter documentation is sparse in the schema itself, the descriptions 'Optional language code...' are too brief to guide LLM behavior on edge cases like missing language codes.

• Remove get_transcript as a tool. It is a pure alias and forces LLMs to reason about equivalence. Keep only get_transcripts or document the alias relationship clearly in the LLM prompt/system context, not as a separate tool.
• Document output schemas for all tools. For get_transcripts, document: { transcripts: [{text: string, startTime?: number, endTime?: number}], title: string, language: string, source: string }. This enables LLMs to plan downstream processing.
• Enhance parameter descriptions in schema to include decision guidance. E.g., for lang: 'Optional language code (e.g. en, uk, ja, ru, zh). If omitted, YouTube auto-selects the best available captions. Only include this parameter if the user explicitly requests a specific language; do not guess.'
• Add recovery hints to error messages. When no transcript is found, respond: 'No transcript found for this video. This often means: (1) no captions uploaded; (2) language not available. Call get_available_languages(url) to see which languages have captions, then retry with a specific lang code.'
• Clarify the distinction between get_video_info and get_available_languages in their descriptions. E.g., get_video_info: 'Fetch video metadata (title, duration, upload date) and list all available caption languages.' get_available_languages: 'List only the caption languages available for a video, use this as a lightweight check before calling get_transcripts with a specific lang parameter.'
• For get_timed_transcript, either (a) remove enableParagraphs from its schema if not supported, or (b) document how it interacts with timestamps. Currently the schema includes it but the description does not mention it.