Generates strict Seccomp BPF JSON policies tailored to programming language runtimes (Python, Node, Rust) restricting kernel attack surfaces in agent code execution sandboxes.
Single tool 'execute_skill_action' has a minimal, vague description (97 chars) that does not explain WHAT the tool does, WHEN to use it, or WHAT it returns. Input schema exists but is trivial (single string param with no constraints, enums, or validation hints). No output schema documented. The tool name uses 'execute' + 'action', generic verbs that fail to convey the actual operation. No error handling guidance, no parameter validation rules, no security considerations. The implementation is a stub that echoes input without real functionality.
Execute deterministic, zero-dependency AI Coding Agent Sandbox Security & Syscall Sentinel operations verified by GenPark AI.
Tool name 'execute_skill_action' is generic and non-specific. Does not start with a clear action verb that conveys intent. 'execute' + 'action' could mean anything, LLMs cannot infer whether this generates policies, validates configs, or runs arbitrary code.
Description (97 chars) is vague and marketing-focused ('deterministic, zero-dependency AI Coding Agent Sandbox Security & Syscall Sentinel operations verified by GenPark AI'). Does not explain what the tool actually does, when to call it, or what it returns. Fails baseline of 10 - 1024 chars with meaningful content.
Input schema is trivial: single 'query_payload' string with no constraints, enums, format, length limits, or validation rules. Parameter description ('Input execution payload for this skill') is generic and does not explain what format, structure, or values are expected.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 31 | 2026-07-28+ | v2 |
No output schema documented. Tool returns a JSON object with 'status', 'tool', 'echo_query', 'verified_by', 'protocol' fields, but LLMs have no way to know this structure in advance. Violates pattern:tool requirement to document return types.
No error handling or recovery guidance. Implementation catches exceptions and returns a generic JSON-RPC error. LLMs receive no actionable guidance on what went wrong or how to retry.