Single tool 'analyze_token' has a clear verb-noun name and acceptable description (89 chars), but critical gaps undermine quality. Input schema is present with two parameters (tokenId, days) both typed as string/number with descriptions, meeting baseline requirements. However, NO output schema is documented, LLMs cannot plan downstream calls or extract results. The tool description lacks WHEN to use it, prerequisites, or what the response structure contains. Parameter 'days' has no min/max bounds (baseline: 1 - 365), inviting invalid inputs. No error handling guidance. The implementation shows sophisticated trading logic (RSI, MACD, Bollinger Bands, OBV) but this complexity is invisible to the LLM, the tool appears as a black box. Missing: output schema documentation, parameter constraints, error recovery guidance, and composition hints.

• Document the output schema explicitly. Example: { currentPrice: number, recommendation: 'BUY'|'SELL'|'HOLD', confidence: 0 - 1, reasons: string[], crossSignals: { goldenCross: boolean, deathCross: boolean } }. This enables LLM planning.
• Add min/max constraints to 'days' parameter: 'Number of days of historical data to analyze (1 - 365, default: 90)'. Prevents invalid inputs.
• Expand tool description to ~150 - 200 chars: 'Analyzes token price data using technical indicators (RSI, MACD, Bollinger Bands, OBV) to generate trading signals. Returns recommendation (BUY/SELL/HOLD), confidence score, and reasoning. Use this to evaluate token momentum before trading decisions.'
• Add error handling guidance: 'If the token is not found, try searching CoinGecko's token list. If rate-limited, retry after 60 seconds. If insufficient historical data, increase the days parameter.'
• Clarify tokenId format: 'The CoinGecko token ID (e.g., bitcoin, ethereum, cardano). Use lowercase, hyphen-separated names. See https://api.coingecko.com/api/v3/coins/list for valid IDs.'