Single tool with minimal definition quality. Tool name 'sentiment_analysis' lacks action verb prefix (should be 'analyze_sentiment'). Description is adequate (56 chars) but generic. Input schema present with basic type but parameter description is minimal ('Text to Analyze.', 16 chars, below 20-char threshold). No output schema documented despite tool returning structured JSON. No error handling guidance. No parameter constraints or validation hints. Tool does not follow verb_noun naming convention baseline (90% of A+ tools start with action verb).

• Rename tool to 'analyze_sentiment' to follow verb_noun convention and help LLMs parse intent from name alone.
• Expand parameter description to 50-100 chars: 'Plain text string to analyze for sentiment. Supports 1-5000 characters. Returns polarity (-1 to 1), subjectivity (0 to 1), and assessment (positive/negative/neutral).'
• Document output schema explicitly: 'Returns JSON object with fields: polarity (float, -1 to 1), subjectivity (float, 0 to 1), assessment (string: positive|negative|neutral).'
• Add input validation: reject empty strings, enforce max length (5000 chars), return actionable error: 'Text must be 1-5000 characters. Got {length} chars.'
• Add error handling for edge cases: empty input, non-ASCII text, extremely long input. Return structured error with guidance: 'Text too long (max 5000 chars). Try splitting into sentences and analyzing each separately.'