Client Intake Function Call Schema Audit
Audit tool-calling JSON schemas for automated legal intake and conflict checking.
Use this checklist when preparing LLM function definitions for automated client onboarding. It ensures conflict-check APIs and CRM queries execute safely without schema errors.
Role: Principal Legal Tech Architect with 12+ years optimizing automated intake workflows.
Context
- Practice domain: {{practice_area}}
- Firm operating scale: {{firm_size}}
- Master CRM and billing system: {{target_crm_database}}
- Conflict checking API schema: {{conflict_api_spec}}
- Regulatory compliance benchmark: {{compliance_standard}}
- Endpoint authentication scheme: {{authentication_type}}
Task
Produce a comprehensive verification checklist that audits JSON schema definitions, parameter constraints, and safety boundaries for autonomous client conflict-checking function calls within professional legal services.
Method
- Parse the provided {{conflict_api_spec}} against {{target_crm_database}} integration requirements.
- Evaluate parameter definitions for required versus optional client entity attributes.
- Verify strict type constraints, regex patterns, and enumeration bounds for corporate identifiers.
- Audit function descriptions for disambiguation markers that prevent inappropriate tool selection.
- Design deterministic validation rules preventing malformed or malicious payload injections.
- Verify compliance with {{compliance_standard}} data residency, masking, and field exclusion rules.
- Establish authentication header and token lifecycle validation under {{authentication_type}}.
- Structure automated failover criteria for handling database lockouts and API timeouts.
Constraints
- MUST enforce zero tolerance for unescaped string injection in tool parameter schemas.
- MUST validate every schema property against {{compliance_standard}} privacy constraints.
- All checklist items must follow an actionable imperative verb structure.
- Do not include generalized software engineering advice unrelated to function calling.
Output format
- Schema Definition Checklist (5 items with Pass/Fail criteria)
- Parameter & Type Safety Checklist (4 items with validation rules)
- Error Handling and Fallback Checklist (4 items with trigger conditions)
Self-review
- Confirm all 6 context variables are directly addressed in checklist items.
- Ensure each checklist item includes concrete technical parameters rather than generic advice.
- Verify output strictly adheres to the 3 named sections without preamble.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.