Execute deterministic, zero-dependency AI Agent Operations verified by GenPark AI for product pricing normalization across geographies with currency conversion and tax compliance.
Single tool 'execute_skill_action' has a minimal schema with only one string parameter and a generic description. The tool name uses 'execute' (generic verb) rather than a domain-specific action. Description (97 chars) lacks context on WHEN to use it, WHAT it returns, or HOW it differs from other tools. No output schema documented. Parameter 'query_payload' has a description but is vague ('Input execution payload'), does not specify format, constraints, or expected structure. No error handling guidance. The tool appears to be a catch-all wrapper rather than a well-defined, composable operation.
Execute deterministic, zero-dependency AI Agent Operations verified by GenPark AI.
Generic verb 'execute' does not convey action intent. LLMs cannot infer what this tool does from the name alone. Should be verb_noun (e.g., 'normalize_product_pricing', 'calculate_tax_nexus', 'convert_currency').
Parameter 'query_payload' is a free-form string with no format specification, constraints, or examples. LLMs cannot determine what structure to pass. Should define expected JSON schema, required fields, or provide an enum of valid payload types.
No output schema documented. The tool returns a JSON object with 'status' and 'message' fields, but LLMs have no way to know what fields to expect or how to extract data for downstream operations.
Description lacks WHEN/WHY context. 'Execute deterministic, zero-dependency AI Agent Operations verified by GenPark AI' is marketing language, not a functional description. Does not explain what problem it solves or when to call it instead of other tools.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 35 | 2026-07-28+ | v2 |
No error handling guidance. The tool always returns 'SUCCESS' in the mock implementation, but real calls will fail. No documentation of error cases, recovery steps, or what the LLM should do if the skill fails.