MCP server for executing deterministic, zero-dependency Agent Commerce skill operations for local inventory curbside pickup route planning, verified by GenPark AI.
Single tool 'execute_skill_action' has critical definition gaps. Description is present (89 chars) but vague, does not explain WHAT skill operations are supported, WHEN to use this tool, or what the output structure contains. Input schema exists but is minimal: single string parameter 'query_payload' with no format constraints, length limits, or examples. No output schema documented, responses are opaque JSON blobs. Tool name uses generic verb 'execute' rather than domain-specific action (e.g., 'plan_curbside_pickup_route'). No error handling guidance. No parameter validation rules. Composition is poor: tool wraps an entire skill system behind a single string parameter, forcing the LLM to guess the payload format.
Execute deterministic, zero-dependency Agent Commerce skill operations verified by GenPark AI.
Tool name 'execute_skill_action' is generic and does not reflect the actual domain action (curbside pickup route planning). LLMs cannot infer intent from the name alone.
Input parameter 'query_payload' is a free-form string with no schema, format, length constraints, or examples. LLMs cannot determine what payload structure is expected.
No output schema documented. Tool returns opaque JSON with 'status' and 'message' fields, but LLMs cannot plan downstream actions without knowing the full response structure (e.g., pickup_plan_id, store_location, drive_time).
Tool description (89 chars) is too vague. It does not explain what 'Agent Commerce skill operations' means, which operations are supported, or when to call this tool instead of alternatives.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 29 | 2026-07-28+ | v2 |
No error handling guidance. Tool always returns 'SUCCESS' status in mock implementation, but real errors (invalid payload, missing inventory, out-of-range location) are not documented or handled.