Googlegoogle.com
Google's API design and contract quality are strong, giving partners a solid technical foundation to build on. However, the program has critical gaps in operational reliability, safe integration, and agent discoverability that will block partners and their AI agents from reaching production confidently.
API DesignA clean, typed, well-governed API contract agents can reason about3 pass2 warn0 fail86A
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Auth declared & discoverablevia spec | 25/25 | Authentication required (global or on every operation). Investigated: spec 100%, docs 100%, wellknown 0%. | Agents can only authenticate when auth is declared, scoped, and discoverable. |
| warn | Machine-readable, versioned contractvia spec | 18.8/25 | info.version="1.0.0" set but no versioning scheme (URL / header / media type) detected. Investigated: spec 75%, docs 50%. | A current OpenAPI version with a declared versioning scheme lets agents reason about the contract. |
| warn | Schema coverage & depthvia spec | 15.3/25 | Only 37% of operations have documented schemas. Investigated: spec 61%. | Typed, complete request/response schemas are what make agent function-calling possible. |
| pass | Security & governance hygienevia spec | 15/15 | No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 100%. | No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel. |
| pass | Example coveragevia spec | 10/10 | 0% example coverage. Investigated: spec 100%, docs 0%. | Examples carry shape semantics schemas under-specify — for humans and agents alike. |
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples2 pass1 warn2 fail55D
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Description completenessvia spec | 15/15 | 84% description completeness (target 90%+). Investigated: spec 100%. | Complete descriptions are the context humans and agents need to use endpoints. |
| pass | Changelog publishedvia spec | 13/13 | changelog documented in the docs site at https://docs.cloud.google.com/release-notes. Investigated: spec 100%, docs 100%, sdk 100%. | A published changelog lets partners track changes without surprise. |
| warn | Quickstart presentvia docs | 12.5/25 | Quickstart page reachable (2 variants scanned starting at https://docs.cloud.google.com/docs/get-started?hl=ko) but no runnable code sample detected in HTML or .md variant. Investigated: docs 50%. | A quickstart is the fastest path from landing page to first successful call. |
| fail | Self-service developer portalvia docs | 0/29 | No signup page detected across conventional paths (/signup, /sign-up, /register, /get-started, /console/signup, /dashboard/signup, /try, /try-free, /free, /free-trial, /start, /start-free). Investigated: docs 0%. | Self-serve key/account creation is the fast first call for partners, with no sales gate. |
| fail | Code samples in docsvia docs | 0/18 | No detectable code samples across 15 sampled docs pages. Investigated: docs 0%. | Multi-language samples shorten time-to-first-call. |
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs2 pass0 warn1 fail66C
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Registry & SDK presencevia docs | 28/28 | Indexed on Context7 (langchain-ai/langchain-google, 291 snippets). Investigated: docs 100%, sdk 100%, cli 100%. | Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look. |
| pass | Crawlable / AEOvia wellknown | 12/12 | Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%. | Bots allowed plus a fresh sitemap make docs findable by agent crawlers. |
| fail | llms.txt present, valid & comprehensivevia docs | 0/30 | No /llms-full.txt found at the candidate origins. Investigated: docs 0%. | A valid, comprehensive llms.txt is the machine-readable entry point for agents. |
| 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 warn2 fail58D
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Machine-readable errors (RFC 9457)via docs | 28/28 | Only 2 distinct 4xx/5xx codes documented (plus 0 "default" catch-all responses). Investigated: docs 100%, spec 50%. | RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens. |
| warn | Operation purpose clarityvia spec | 4.2/25 | 0% of operations are agent-inferable. Investigated: spec 17%. | Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice. |
| fail | Agent instructions file (AGENTS.md)via wellknown | 0/10 | No AGENTS.md at the site root or /.well-known/. 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 | Neither JSON-LD nor OpenGraph/meta tags detected across 1 assessed pages (1 JS-rendered). 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 | 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 | 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 pass1 warn4 fail41F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| warn | Runnable collection with test scriptsvia platform | 4.5/9 | No test scripts found in the workspace's collections. Investigated: platform 50%. | A public, maintained collection with assertions is runnable truth agents validate against. |
| fail | Idempotency documentedvia spec | 0/27 | 0% of mutating operations document idempotency. Investigated: spec 0%, docs 0%. | Documented idempotency lets agents retry safely. |
| fail | Rate-limit signalingvia spec | 0/22 | No rate-limit response headers documented. Investigated: spec 0%, docs 0%. | Machine-readable rate-limit headers let agents throttle adaptively. |
| fail | Pagination documented & consistentvia spec | 0/22 | 4 list endpoint(s) exist but no pagination params found. Investigated: spec 0%, docs 0%. | Consistent, documented pagination lets agents traverse collections. |
| fail | Sandbox separationvia spec | 0/20 | No sandbox/test server declared across 12 server entries; no test-key prefixes documented. Investigated: spec 0%, docs 0%. | An isolated environment lets agents exercise destructive operations safely. |
Resources Discovered
The public resources we found for Google — the evidence behind the score. All discovered from public sources; nothing here requires access to your systems.
| Agent hints | Context7 (291) |
|---|---|
| APIs analyzed | 3 — Google Maps Platform – Core APIs, Threat Intelligence API, Google Maps Platform |