Loading ToolBench
Autonomous pipeline orchestration system for code generation and optimization using Codex CLI and Claude
auto-codex has 17 tools with schemas and descriptions present, but quality is inconsistent. Naming follows verb_noun convention (activate, deactivate, status, advance, mark-reviewed) which is good. However, descriptions are often terse (10-50 chars) and lack actionable context for LLM selection. Parameter descriptions exist but many are generic ('Optional explicit path to activation file'). Output schemas are not documented, LLMs cannot predict what these tools return. Error handling is minimal; no recovery guidance. Tools like 'next-action' and 'advance' have empty input schemas ({}), making their preconditions opaque. The 'optimize-run' tool accepts a 'metric' string parameter with no enum or validation guidance, inviting hallucinated metric names. Overall, definitions are skeletal, sufficient to invoke but not optimized for agent reasoning.
Create autonomous_session.json from a tasks file with specified policy, branch, and pipeline configuration
Advance to next phase in the pipeline with hard artifact and review gates
Pre-flight check for /swarm phase to verify review gate status
Set activated=false in the activation file and record deactivation timestamp
Check that auto-codex environment is installed and working correctly with optional caching and targeted checks
Create autonomous session from a single task directive without scope draft
Bump rotation_count in the activation file and warn if rotation budget exceeded
Empty input schemas on 4 tools (next-action, advance, check-review-gate, pipeline-status). LLMs cannot determine preconditions or required context.
No output schemas documented for any tool. LLMs cannot predict return structure, forcing them to guess what fields are available for downstream tool calls. Violates pattern:tool and pattern:response-shaper.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 51 | 2026-07-28+ | v2 |
Record review verdict (approved/rejected/override) with optional reason for a task
Determine what the agent should do next based on current pipeline phase and task state
Metric-driven iteration engine using Codex CLI to propose targeted single-file changes and evaluate against metrics
Return current pipeline state including phase, task, and progress
Output system prompt fragment for session resume with current phase action and pipeline guidance
Run the project's real build/typecheck/test commands, detect project type, and write verify_metrics.json and verify_report.md
Convert approved scope_of_work.md into autonomous_session.json for activation
Generate tmp/scope_of_work.md as a template for user editing from project context
Return scope status: draft/approved/active/none
Print current activation status including active state, pipeline, policy, branch, rotation count, and current task
Parameter 'metric' in optimize-run is a free-form string with no enum or validation. LLMs will hallucinate metric names. Should enumerate valid metrics or provide discovery tool.
Descriptions are terse (40-65 chars average). Lack WHEN to use, WHAT it returns, and dependencies. E.g., 'resume-prompt' (45 chars) does not explain when to call it or what prompt fragment it outputs.
No error handling guidance. Tools like 'activate' do not document what happens if the session is already active, or how to recover. Per pattern:recovery-guide, errors must tell LLM what to do next.