Two tools with minimal descriptions (both under 100 chars) and basic input schemas. rememberFact and recallMemories lack parameter descriptions, output schemas are undocumented, and no error handling guidance is provided. Tool names are reasonable (verb_noun pattern) but descriptions are too terse to guide LLM selection. No evidence of pagination, structured output documentation, or recovery patterns. Schemas present but incomplete, parameters lack descriptions, violating baseline that 100% of A+ tools document all params.

• Expand tool descriptions to 150 - 250 chars. For rememberFact: 'Store a single, standalone fact about the user for future reference. Facts should be atomic (one claim per call) and relevant to the user's context. Returns success/failure and a fact ID for tracking.' For recallMemories: 'Search stored facts by keyword or semantic similarity. Returns up to 10 most relevant facts with relevance scores. Use this to retrieve context before responding to user queries.'
• Add parameter descriptions. fact: 'A single, atomic fact about the user (max 500 chars). Should be a complete sentence or short phrase, e.g. "User prefers morning meetings" or "User is allergic to peanuts". Avoid lists or multiple claims in one fact.' query: 'Search term or natural language question (max 200 chars). E.g. "user preferences", "dietary restrictions", or "meeting times". Semantic search will find related facts even if keywords don't match exactly.'
• Document output schemas. rememberFact should return {success: boolean, fact_id: string, stored_at: ISO8601_timestamp}. recallMemories should return {facts: [{id, text, relevance_score, stored_at}], total_count: number, query_matched: string}.
• Add error handling. rememberFact: 'If fact is empty or >500 chars, return error with constraint. If storage fails, return retryable error.' recallMemories: 'If query is empty, return error. If no facts found, return empty array with message "No matching facts found. Try a broader search term."'
• Add pagination to recallMemories. Accept optional limit (1 - 50, default 10) and offset (default 0) parameters. Return total_count so LLM knows if more results exist and can paginate.