OpenAPI AI Readiness Scorecard & Sandbox — score and simulate your APIs for agentic use
Project description
cli-jentic
A CLI tool that scores OpenAPI specs for AI-readiness across 6 dimensions — giving APIs a letter grade and actionable recommendations so they work well with AI agents and LLM tooling.
Installation
# With uv (recommended)
uv pip install -e .
# Or with pip
pip install -e .
Usage
Scorecard
# Score an OpenAPI spec
cli-jentic score path/to/openapi.yaml
# Output as JSON
cli-jentic score path/to/openapi.yaml --json
# Run against the built-in sample spec to see how scoring works
cli-jentic demo
cli-jentic demo --json
Sandbox
The sandbox spins up a local mock server from your spec and auto-probes every endpoint, reporting a feasibility score — how well the spec can actually be exercised by an agent.
# Start a persistent mock server (press Ctrl+C to stop)
cli-jentic sandbox start path/to/openapi.yaml
cli-jentic sandbox start path/to/openapi.yaml --port 9000
# Probe all endpoints and get a report
cli-jentic sandbox probe path/to/openapi.yaml
cli-jentic sandbox probe path/to/openapi.yaml --json
# Run against the built-in sample spec
cli-jentic sandbox demo
cli-jentic sandbox demo --json
The probe command:
- Starts an internal mock server
- Generates synthetic request payloads and path parameters from the spec's schemas
- Fires requests at every operation
- Reports per-endpoint status codes, response times, and any issues found
- Exits with code
2if the feasibility score is below 50%
Exit codes
| Code | Meaning |
|---|---|
0 |
Success / score ≥ threshold |
1 |
Error reading or parsing the spec |
2 |
Score below threshold (< 60 for scorecard, < 50% for sandbox) |
What gets scored
Each spec is evaluated across 6 weighted dimensions:
| Dimension | Weight | What it checks |
|---|---|---|
| Foundational Compliance | 20% | OpenAPI version, info object, paths defined, spec validity |
| Developer Experience | 15% | Operation IDs, summaries, request/response examples, parameter descriptions |
| AI-Readiness & Agent Experience | 20% | Meaningful descriptions, error responses (4xx/5xx), response schemas, schema property descriptions |
| Agent Usability | 20% | Semantic operation IDs, tag usage, parameter schemas, request body documentation |
| Security & Governance | 15% | Security schemes defined, operations secured, auth documentation |
| AI Discoverability | 10% | API-level description, tags defined, external docs |
Grading
| Score | Grade |
|---|---|
| 90–100 | A |
| 80–89 | B |
| 70–79 | C |
| 60–69 | D |
| < 60 | F |
Example output
╭─ API AI Readiness Scorecard ──────────────────────────────────╮
│ Task Manager API v1.0.0 │
│ sample_spec.yaml │
│ │
│ Overall Score: 42.3/100 Grade: F │
╰────────────────────────────────────────────────────────────────╯
╭──────────────────────────────────┬───────────┬───────┬──────────────────────────┬────────╮
│ Dimension │ Score │ Grade │ Progress │ Issues │
├──────────────────────────────────┼───────────┼───────┼──────────────────────────┼────────┤
│ Foundational Compliance │ 75.0/100 │ C │ ███████████████░░░░░ │ 1 │
│ Developer Experience │ 38.5/100 │ F │ ███████░░░░░░░░░░░░░░ │ 3 │
│ AI-Readiness & Agent Experience │ 31.2/100 │ F │ ██████░░░░░░░░░░░░░░░ │ 4 │
│ ... │ ... │ ... │ ... │ ... │
╰──────────────────────────────────┴───────────┴───────┴──────────────────────────┴────────╯
Issues & Recommendations
AI-Readiness & Agent Experience
x 4/6 operations lack descriptive intent (need >30 char description)
paths.*.*.description
! 5/6 operations have no documented error responses (4xx/5xx) — agents cannot handle failure gracefully
paths.*.*.responses
JSON output
Pass --json to get a machine-readable report:
cli-jentic score openapi.yaml --json | jq '.overall_score'
{
"api_name": "Task Manager API",
"api_version": "1.0.0",
"spec_path": "openapi.yaml",
"overall_score": 42.3,
"grade": "F",
"dimensions": [
{
"name": "Foundational Compliance",
"score": 75.0,
"grade": "C",
"issues": [...]
}
]
}
Development
# Install with dev dependencies
uv pip install -e .
# Run directly without installing
python main.py score path/to/spec.yaml
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