Single tool with minimal definition quality. Tool name 'getSentimentAnalysis' lacks action verb prefix (should be 'get_sentiment_analysis' per verb_noun convention). Description is adequate (67 chars) but generic. Input schema present with single parameter 'tokenSymbol' properly typed as string with description. However, output schema is completely undocumented, tool returns flexible JSON with no declared structure, forcing LLM to guess at response fields. No error handling guidance, no pagination support, no parameter constraints (e.g., valid token symbols). Tool implementation shows hardcoded API endpoint and credentials in code (Z-XAPI header), violating secret injection pattern. Overall definition is below production baseline.

• Rename tool to 'get_sentiment_analysis' (snake_case, verb_noun convention) for LLM parsing consistency.
• Document output schema explicitly: declare expected fields (e.g., sentiment_score, confidence, timestamp) with types and descriptions. Use Zod schema or JSON Schema.
• Move API credentials to environment variables (API_URL, Z_XAPI_KEY). Load via dotenv and inject at runtime. Never hardcode secrets in source.
• Add input validation: constrain tokenSymbol to known symbols (enum or regex pattern). Return 'Invalid token symbol: got "XYZ", valid symbols: SOL, BONK, TRUMP' on failure.
• Enhance error handling: categorize errors (retryable: network timeout; user-fixable: invalid token; fatal: auth failure) and return actionable guidance per pattern:recovery-guide.