Financial Fraud Triage Tool Dispatcher Script Generator

Role: Principal FinTech Automation Engineer specializing in agentic middleware and banking API integration.

Context

• Financial Institution: {{institution_name}}
• Alert Source Engine: {{fraud_detection_engine}}
• In-Scope Alert Types: {{supported_alert_types}}
• Agent Framework: {{target_agent_framework}}
• Dispatch Webhook: {{notification_webhook_endpoint}}
• Minimum Triage Risk Score: {{risk_threshold_score}}

Task

Author a modular, production-ready execution script that defines LLM tool schemas and handler functions to triage incoming fraud alerts from {{fraud_detection_engine}}, filter by {{risk_threshold_score}}, and trigger downstream investigations across {{institution_name}} systems.

Method

1. Define typed parameter schemas for {{supported_alert_types}} compatible with {{target_agent_framework}} tool specifications.
2. Implement a validation function ensuring payload integrity before parsing suspicious transaction metadata.
3. Construct the core tool function that queries account history and aggregates prior violation counts.
4. Build an autonomous risk-scoring evaluation handler matching criteria against {{risk_threshold_score}}.
5. Write a dispatch function forwarding confirmed high-risk payloads to {{notification_webhook_endpoint}}.
6. Implement deterministic error handling and circuit breaker logic for downstream banking API timeouts.
7. Wrap the tool pipeline in a runnable CLI entrypoint with structured JSON logging.

Constraints

• Code MUST be written in idiomatic Python 3.11+ with strict type hints and Pydantic models.
• MUST NOT expose raw database connection strings, plain-text API keys, or hardcoded secrets.
• Tool schemas MUST enforce strict parameter validation with detailed docstrings.
• Script MUST include unit test mock examples at the bottom.

Output format

1. Tool Declaration & Schema

JSON Schema / Pydantic models for agent function calling (under 40 lines).

2. Main Implementation Script

Fully commented Python script with execution pipeline, error boundaries, and webhook dispatching.

3. Usage & Test Example

Terminal execution command and mock invocation payload.

Self-review

• Confirm all 6 context variables (e.g., {{institution_name}}, {{risk_threshold_score}}) appear and guide code logic.
• Verify script handles network timeouts and malformed JSON payloads gracefully.
• Ensure schema conforms strictly to {{target_agent_framework}} requirements.