VozClara defines 4 tools with reasonable descriptions (avg 156 chars) and basic input schemas. All tools have enum-constrained or typed parameters. However, output schemas are completely undocumented, LLMs cannot plan downstream calls or extract structured data. Error handling is absent; no guidance on retryability, user-fixable vs fatal errors, or recovery paths. Tool naming is verb-forward but generic ('generate_pack' vs 'generate_knowledge_pack_from_youtube'). No tool annotations (readOnlyHint, idempotentHint). Parameter descriptions lack format/constraint details (e.g., 'videoUrl' has no validation rules, 'limit' has no min/max bounds). Composition is reasonable, tools are single-purpose and chainable, but missing IDs in responses would break chains.

• Document output schemas for all 4 tools. vozclara_generate_pack should return {summary: string, key_ideas: string[], glossary: {term: string, definition: string}[], quiz: {question: string, options: string[], correct_answer: number}[], transcript: {text: string, timestamp_seconds: number}[]}. Include field types and descriptions so LLMs can extract and chain data.
• Add error handling guidance to tool descriptions. E.g., vozclara_generate_pack: 'Returns error if URL is invalid, video is private, or processing times out (>5min). Suggest user verify URL is public and video has captions.' search_my_library: 'Returns empty array if no matches found, suggest refining query or checking library is populated.'
• Add parameter constraints. videoUrl: 'Valid public YouTube URL (https://youtube.com/watch?v=...). Video must be public and have captions.' limit: 'Maximum results to return (1 - 100, default 20). Larger limits may timeout.'
• Add readOnlyHint annotation to all 4 tools in schema. Mark as read-only since none mutate state. This signals to LLMs these are safe to call speculatively without confirmation.
• Document pagination for search_my_library. Add offset/limit or cursor-based pagination. Return {results: [...], total_count: number, has_more: boolean} so agents can iterate over large libraries without context explosion.