Uzabaseuzabase.co.jp
Uzabase's API program has meaningful strengths in crawlability and docs reachability, but partners and their AI agents currently face critical barriers at every stage of the integration journey. The two most urgent gaps are onboarding and agent readiness: there is no self-service signup, no quickstart, no code samples, and no machine-readable context (llms.txt, AGENTS.md, structured data) for agents to act on without human intervention.
API DesignA clean, typed, well-governed API contract agents can reason about0 pass0 warn2 fail40F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| fail | Security & governance hygienevia wellknown | 0/15 | No security.txt found at /.well-known/security.txt or /security.txt, so there's no machine-readable security contact for agents or researchers. Investigated: wellknown 0%. | No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel. |
| fail | Example coveragevia docs | 0/10 | No code samples detected across 1 sampled docs pages, so a coding agent gets no ready-to-use examples. Investigated: docs 0%. | 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 | Schema coverage & depth | —/25 | No surface produced evidence for this capability in this run. | Typed, complete request/response schemas are what make agent function-calling possible. |
| na | Auth declared & discoverable | —/25 | No surface produced evidence for this capability in this run. | Agents can only authenticate when auth is declared, scoped, and discoverable. |
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples1 pass0 warn3 fail44F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Changelog publishedvia sdk | 13/13 | Newest official SDK activity 0 day(s) ago. Investigated: sdk 100%. | A published changelog lets partners track changes without surprise. |
| fail | Self-service developer portalvia docs | 0/29 | No self-service signup detected — no signup link on the homepage or docs, and no conventional signup path (/signup, /sign-up, /register, /get-started, /console/signup, /dashboard/signup, /try, /try-free, /free, /free-trial, /start, /start-free, /join, /create-account, /account/signup, /auth/signup, /users/sign_up) resolved — so an agent can't onboard on its own. Investigated: docs 0%. | Self-serve key/account creation is the fast first call for partners, with no sales gate. |
| fail | Quickstart presentvia docs | 0/25 | No quickstart or getting-started page found at the conventional docs paths, so new developers and agents have no obvious first step. Investigated: docs 0%. | A quickstart is the fastest path from landing page to first successful call. |
| fail | Code samples in docsvia docs | 0/18 | No code samples detected across 1 sampled docs pages, so a coding agent gets no ready-to-use examples. Investigated: docs 0%. | Multi-language samples shorten time-to-first-call. |
| na | Description completeness | —/15 | No surface produced evidence for this capability in this run. | Complete descriptions are the context humans and agents need to use endpoints. |
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs1 pass2 warn1 fail65C
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Registry & SDK presencevia sdk | 28/28 | Official SDKs found in 3 distinct languages, covering the ones agents use most. Investigated: sdk 100%, docs 0%, cli 0%. | Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look. |
| warn | Docs reachable, not hard auth-gatedvia docs | 22.5/30 | Server ignores Accept: text/markdown header (0/1 pages return markdown). Investigated: docs 75%. | Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics. |
| warn | Crawlable / AEOvia wellknown | 6/12 | 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 50%. | Bots allowed plus a fresh sitemap make docs findable by agent crawlers. |
| fail | llms.txt present, valid & comprehensivevia docs | 0/30 | No llms.txt found at any candidate location (https://uzabase.github.io/mitsubachi-ui/llms.txt, https://uzabase.github.io/llms.txt, https://uzabase.github.io/docs/llms.txt). Investigated: docs 0%. | A valid, comprehensive llms.txt is the machine-readable entry point for agents. |
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs0 pass1 warn2 fail51D
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| warn | Agent-navigable, token-efficient docsvia docs | 12.6/22 | 1 of 1 pages appear to be client-side rendered SPA shells (root detected); agents using HTTP fetches will see no content. Investigated: docs 57%. | Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly. |
| fail | Agent instructions file (AGENTS.md)via wellknown | 0/10 | No AGENTS.md at the site root or /.well-known/, so coding agents have no ready-made setup and usage instructions. Investigated: wellknown 0%. | An AGENTS.md gives coding agents explicit setup, auth, and usage instructions to interpret and operate the API — beyond llms.txt's link index. |
| fail | Docs structured datavia docs | 0/8 | No JSON-LD or OpenGraph/meta tags found across 1 assessed pages (1 JS-rendered), so answer engines have nothing to cite. Investigated: docs 0%. | 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 | 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 | Operation purpose clarity | —/25 | No surface produced evidence for this capability in this run. | Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice. |
| 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 them0 pass0 warn1 fail40F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| fail | Runnable collection with test scriptsvia platform | 0/9 | No public Postman workspace found for the org, so there's no runnable collection an agent can execute against. Investigated: platform 0%. | A public, maintained collection with assertions is runnable truth agents validate against. |
| na | Idempotency documented | —/27 | No surface produced evidence for this capability in this run. | Documented idempotency lets agents retry safely. |
| 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. |
| na | Sandbox separation | —/20 | No surface produced evidence for this capability in this run. | An isolated environment lets agents exercise destructive operations safely. |