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Your API design, developer experience, and agent usability are all in strong shape — partners who find your API can build against it confidently. The critical gap is discoverability: AI agents and search engines have no structured entry point to your documentation, meaning partners who don't already know you exist will never find you, and AI-powered tools cannot index or act on your APIs without manual intervention.
API DesignA clean, typed, well-governed API contract agents can reason about2 pass1 warn0 fail97A+
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| warn | Schema coverage & depthvia sdk | 23.2/25 | 7 of 103 public signatures use loose types (anyTypeRatio=0.068). Investigated: sdk 93%. Fix: Replace any/unknown/object/dict/**kwargs in public params and return types with named or primitive types. | Typed, complete request/response schemas are what make agent function-calling possible. |
| pass | Security & governance hygienevia sdk | 15/15 | Code is formatter-clean with zero linter errors and zero style warnings. Investigated: sdk 100%, wellknown 0%. | No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel. |
| pass | Example coveragevia sdk | 10/10 | README is present and includes a runnable quickstart. Investigated: sdk 100%. | Examples carry shape semantics schemas under-specify — for humans and agents alike. |
| na | Machine-readable, versioned contract | —/25 | No surface produced evidence for this capability in this run. | A current OpenAPI version with a declared versioning scheme lets agents reason about the contract. |
| na | Auth declared & discoverable | —/25 | No surface produced evidence for this capability in this run. | Agents can only call an API when they can determine its auth posture — a declared scheme, or an explicit statement that none is required. |
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples0 pass1 warn0 fail80A
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| warn | Description completenessvia sdk | 11.5/15 | 13/56 operations lack a description. Investigated: sdk 77%. Fix: Add descriptions to operations so agents can route to the right tool by reading them. | Complete descriptions are the context humans and agents need to use endpoints. |
| na | Self-service developer portal | —/29 | No surface produced evidence for this capability in this run. | A first call without a human in the loop — self-serve credentials, a free tier, or an API that needs none. |
| na | Quickstart present | —/25 | No surface produced evidence for this capability in this run. | A quickstart is the fastest path from landing page to first successful call. |
| na | Code samples in docs | —/18 | No surface produced evidence for this capability in this run. | Multi-language samples shorten time-to-first-call. |
| na | Changelog published | —/13 | No surface produced evidence for this capability in this run. | A published changelog lets partners track changes without surprise. |
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs0 pass1 warn2 fail47F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| warn | Registry & SDK presencevia sdk | 16.3/28 | No official SDKs were found on npm, PyPI, or GitHub, so agents must call the API by hand. Investigated: sdk 58%, docs 0%, cli 0%. Fix: Publish at least one official SDK and list it on the org's docs site or package registries. | Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look. |
| fail | llms.txt present, valid & comprehensivevia docs | 0/30 | No llms-full.txt was found at any candidate origin, so agents can't grab your full docs in one fetch. Investigated: docs 0%, sdk 0%. Fix: Publish a concatenated, agent-readable copy of your documentation at /llms-full.txt on your docs site. | A valid, comprehensive llms.txt is the machine-readable entry point for agents. |
| fail | Crawlable / AEOvia wellknown | 0/12 | No sitemap found via robots.txt or /sitemap.xml on the docs host, so AI search engines have no crawl map for your docs. Investigated: wellknown 0%. Fix: Publish an XML sitemap and reference it from robots.txt. | Bots allowed plus a fresh sitemap make docs findable by agent crawlers. |
| na | Docs reachable, not hard auth-gated | —/30 | No surface produced evidence for this capability in this run. | Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics. |
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs1 pass1 warn0 fail88A
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Operation purpose clarityvia sdk | 25/25 | Surface uses a single dominant casing convention (camelCase). Investigated: sdk 100%. | Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice. |
| warn | Agent instructions file (AGENTS.md)via sdk | 5/10 | No agents.md or skill.md context file found (nice-to-have for agent operation). Investigated: sdk 50%, wellknown 0%. Fix: Add an agents.md or skill.md describing how an agent should use this SDK (auth setup, key operations, gotchas). | An AGENTS.md gives coding agents explicit setup, auth, and usage instructions to interpret and operate the API — beyond llms.txt's link index. |
| na | Machine-readable errors (RFC 9457) | —/28 | No surface produced evidence for this capability in this run. | RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens. |
| na | Agent-navigable, token-efficient docs | —/22 | No surface produced evidence for this capability in this run. | Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly. |
| na | Docs structured data | —/8 | No surface produced evidence for this capability in this run. | Structured data (JSON-LD/schema.org) on docs pages gives agents an unambiguous parse target and is what answer engines cite. Detected on the JS-rendered head (Firecrawl) for a bounded page budget, so JS-injected JSON-LD is now caught; pages we can't render are excluded rather than failed. |
| na | Description consistency across surfaces | —/7 | Only 1 surface description(s) with ≥6 tokens available; need at least 2 to compare. | Every surface tells the same story about what the product is. |
Agent UsabilityAgents have the context to use your APIs reliably, not just find them2 pass1 warn0 fail85A
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Idempotency documentedvia sdk | 27/27 | Built-in retry machinery is present (grep-derived). Investigated: sdk 100%. | Documented idempotency lets agents retry safely. |
| warn | Sandbox separationvia sdk | 10/20 | No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%. Fix: Expose a test-mode flag or sandbox environment so agents can exercise the SDK safely. | An isolated environment lets agents exercise destructive operations safely. |
| pass | Runnable collection with test scriptsvia sdk | 9/9 | README is present and includes a runnable quickstart. Investigated: sdk 100%, platform 0%. | A public, maintained collection with assertions is runnable truth agents validate against. |
| na | Rate-limit signaling | —/22 | No surface produced evidence for this capability in this run. | Machine-readable rate-limit headers let agents throttle adaptively. |
| na | Pagination documented & consistent | —/22 | No surface produced evidence for this capability in this run. | Consistent, documented pagination lets agents traverse collections. |