# Microsoft Azure — API Agent Score

> Score: 62/100 (Grade: C) | Domain: azure.microsoft.com | Rubric: 1.0.0 | Checked: July 24, 2026

Microsoft Azure scored 62/100 (C), classified "partially-ready".

[View full report](https://www.postman.com/ai/ai-ready-apis/company/microsoft)
[All organizations](https://www.postman.com/ai/ai-ready-apis/llms.txt)

## Summary

- Overall: 62/100 (C)
- Classification: partially-ready

## Category Scores

- API Design: 100/100 (A+)
- Developer Experience: 66/100 (C)
- Agent Discovery: 66/100 (C)
- Agent Understanding: 55/100 (D)
- Agent Usability: 43/100 (F)

## Check Results

### API Design

- [pass] Machine-readable, versioned contract — Versioning declared (info.version="2023-05-01") and date-based-versioning detected. Investigated: spec 100%, docs 100%.
- [pass] Schema coverage & depth — package.json "types" → types/index.d.ts. Investigated: sdk 100%, spec 67%.
- [pass] Auth declared & discoverable — Authentication required (global or on every operation). Investigated: spec 100%, docs 100%, wellknown 0%.
- [pass] Security & governance hygiene — No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 0%.
- [pass] Example coverage — README is present and includes a runnable quickstart. Investigated: sdk 100%, spec 0%, docs 0%.

### Developer Experience

- [pass] Self-service developer portal — Signup page at https://azure.microsoft.com/en-us/get-started; no free-tier language detected in docs/pricing. Investigated: docs 100%.
- [pass] Description completeness — 93% of operations + parameters have substantive descriptions. Investigated: spec 100%.
- [pass] Changelog published — Newest official SDK activity 0 day(s) ago. Investigated: sdk 100%, spec 0%, docs 0%.
- [fail] Quickstart present — No quickstart/getting-started page found at the conventional paths. Investigated: docs 0%.
- [fail] Code samples in docs — No detectable code samples across 1 sampled docs pages. Investigated: docs 0%.

### Agent Discovery

- [pass] Registry & SDK presence — Indexed on Context7 (websites/learn_microsoft_en-us_azure, 381896 snippets). Investigated: docs 100%, cli 100%, sdk 58%.
- [pass] Crawlable / AEO — Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%.
- [fail] llms.txt present, valid & comprehensive — No /llms-full.txt found at the candidate origins. Investigated: docs 0%, sdk 0%.
- [skip] Docs reachable, not hard auth-gated — No surface produced evidence for this capability in this run.

### Agent Understanding

- [pass] Machine-readable errors (RFC 9457) — No explicit 4xx/5xx codes, but 26 operation(s) document a "default" error response. Investigated: spec 100%, docs 100%.
- [fail] Operation purpose clarity — 0% of operations are agent-inferable. Investigated: spec 0%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.
- [fail] Docs structured data — Neither JSON-LD nor OpenGraph/meta tags detected across 1 assessed pages (1 JS-rendered). Investigated: docs 0%.
- [skip] Agent-navigable, token-efficient docs — No surface produced evidence for this capability in this run.
- [skip] Description consistency across surfaces — Only 0 surface description(s) with ≥6 tokens available; need at least 2 to compare.

### Agent Usability

- [warn] Sandbox separation — No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%, spec 0%, docs 0%.
- [fail] Idempotency documented — 0% of mutating operations document idempotency. Investigated: spec 0%, docs 0%, sdk 0%.
- [fail] Rate-limit signaling — No rate-limit response headers documented. Investigated: spec 0%, docs 0%.
- [fail] Runnable collection with test scripts — No public Postman workspace discovered for the org. Investigated: platform 0%.
- [skip] Pagination documented & consistent — No surface produced evidence for this capability in this run.

## Executive Summary

Azure's API program shows strength in its breadth of surface area, but partners and their AI agents face two compounding problems: they cannot reliably find or interpret the APIs without human guidance, and they cannot safely execute real workflows without runnable, reliability-documented artifacts. The weakest areas are agent understanding (missing machine-readable context, operation clarity, and structured data) and agent usability (no runnable collections with tests, undocumented idempotency and rate-limit behavior). Closing these gaps will shift the program from one that requires a sales conversation and tribal knowledge to one where partners and autonomous agents can onboard, integrate, and operate confidently in self-serve mode.