Single tool with adequate naming (verb-prefixed 'get_xlm_sentiment') and reasonable description (~180 chars, within baseline 194 avg). However, critical gaps: input schema is empty object with no parameters documented, output schema is NOT formally documented in the tool definition, only described in prose. No parameter descriptions exist (tool takes no params, but output fields lack schema definition). Error handling is absent; no guidance on failure modes or recovery. Tool is read-only (good), but lacks idempotent/readOnly annotations. Composition is minimal (1 tool only). Overall reflects a basic, single-purpose sentiment API wrapper without production-grade schema rigor.

• Add formal JSON Schema output definition to the Tool object. Example: outputSchema: {type: 'object', properties: {sentiment: {type: 'number', description: '...'}, sentiment_source: {type: 'string'}, components: {type: 'object'}, price_usd: {type: 'number'}, mid: {type: 'number'}, spread_pct: {type: 'number'}, ts: {type: 'number'}}}
• Implement error handling with recovery guidance. Catch network/API failures and return structured errors: {is_error: true, content: [{type: 'text', text: 'Sentiment service unavailable. Retry in 30s or use cached value from <timestamp>.'}]}
• Add tool annotations: readOnlyHint: true and idempotentHint: true to the Tool definition to signal safety to LLMs.
• Expand tool set with complementary tools: get_xlm_sentiment_history (time-series), compare_sentiment (multi-asset), configure_sentiment_weights (if user-configurable). This enables richer agent workflows.
• Document component breakdown in output schema. The 'components' field is mentioned but its structure (Fear & Greed weight, SDEX weight, momentum weight) is not formally defined.