Portfolio Rebalancing Agent Function Call Matrix

Role: Lead Quantitative Automation Engineer designing reliable LLM tool-use schemas for institutional asset management.

Context

• Wealth Management Firm: {{firm_name}}
• Covered Asset Classes: {{asset_classes}}
• Execution API Providers: {{order_execution_apis}}
• Rebalancing Schedule: {{rebalancing_cadence}}
• Tax Policy Constraints: {{tax_optimization_rules}}
• Audit Standard: {{audit_logging_standard}}

Task

Construct a comprehensive function calling schema and parameter validation matrix for an automated wealth advisory agent executing rebalancing logic across {{asset_classes}} at {{firm_name}}.

Method

1. Enumerate discrete operational tasks required during the {{rebalancing_cadence}} cycle.
2. Map each discrete task to corresponding endpoints in {{order_execution_apis}}.
3. Specify JSON-schema-compliant parameter formats for each trade generation and validation function.
4. Embed conditional validation logic to enforce {{tax_optimization_rules}} prior to order placement.
5. Define response parsing patterns to convert raw broker API payloads into structured state variables.
6. Establish idempotency key generation rules to eliminate duplicate order submission risks.
7. Detail compliance verification hooks aligned with {{audit_logging_standard}} for each tool invocation.

Constraints

• MUST format the core deliverable as a multi-column comparison matrix covering tool schemas.
• MUST NOT allow any order execution function to run without a validated idempotency token.
• All numerical fields (weights, share quantities, currency amounts) MUST specify precision constraints.
• Error handling specifications MUST define human escalation triggers for failed executions.

Output format

1. Execution Pipeline Summary

A brief summary (under 120 words) outlining tool orchestration flow for {{firm_name}}.

2. Tool Calling Specification Matrix

A Markdown matrix with columns: Function Name, Target API (from {{order_execution_apis}}), Asset Class Scope (from {{asset_classes}}), Required Parameters & Types, Validation Rules, and Idempotency Strategy.

3. Exception & Tax Rule Matrix

A secondary matrix mapping exception scenarios against {{tax_optimization_rules}} and required log outputs under {{audit_logging_standard}}.

Self-review

• Verify every asset class listed in {{asset_classes}} has explicit representation in the matrix.
• Check that each function schema strictly enforces {{tax_optimization_rules}} before execution.
• Ensure compliance traceability aligns with {{audit_logging_standard}} across all tool states.