/**
 * analyze_risk Tool
 *
 * Multi-factor risk analysis for vault investment decisions.
 * Analyzes TVL, concentration, volatility, age, and curator reputation.
 *
 * Use cases:
 * - Investment risk assessment before deposit
 * - Portfolio risk monitoring and rebalancing
 * - Comparative risk analysis across vaults
 * - Due diligence for large deposits
 * - Performance: ~400-600 tokens per analysis
 *
 * Cache strategy:
 * - 15-minute TTL (risk factors can change with market conditions)
 * - Cache tags: [CacheTag.RISK, CacheTag.ANALYTICS, CacheTag.VAULT]
 */
import { CallToolResult } from '@modelcontextprotocol/sdk/types.js';
import { AnalyzeRiskInput, AnalyzeRisksInput } from '../utils/validators.js';
import { ServiceContainer } from '../core/container.js';
/**
 * Create the executeAnalyzeRisk function with DI container
 *
 * This factory function demonstrates the service layer pattern:
 * 1. Business logic encapsulated in RiskService
 * 2. Complex multi-step operations cleanly organized
 * 3. Service handles GraphQL queries and data processing
 * 4. Tool focuses on caching and response formatting
 *
 * @param container - Service container with dependencies
 * @returns Configured tool executor function
 */
export declare function createExecuteAnalyzeRisk(container: ServiceContainer): (input: AnalyzeRiskInput) => Promise<CallToolResult>;
/**
 * Create the executeAnalyzeRisks function for batch risk analysis
 *
 * Analyzes 2-20 vaults in a single operation, significantly reducing
 * API calls and token usage compared to individual analyze_risk calls.
 *
 * Supports both same-chain and cross-chain analysis:
 * - Same-chain: Provide single chainId for all vaults
 * - Cross-chain: Provide chainIds array (positional mapping with vaultAddresses)
 *
 * @param container - Service container with dependencies
 * @returns Configured batch tool executor function
 */
export declare function createExecuteAnalyzeRisks(container: ServiceContainer): (input: AnalyzeRisksInput) => Promise<CallToolResult>;
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