Localtestlocaltest.me
Localtest's API program has critical gaps across discovery, agent readiness, and security hygiene that will block partners and AI agents from finding, understanding, and integrating with your APIs without direct support. The weakest areas are Agent Discovery and Agent Understanding — there is no machine-readable front door (no llms.txt, no sitemap, no AGENTS.md) and no runnable context for agents or partners to build against.
API DesignA clean, typed, well-governed API contract agents can reason about0 pass0 warn1 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%. Fix: Publish an RFC 9116 security.txt with a Contact line and a future Expires date. | No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel. |
| 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 call an API when they can determine its auth posture — a declared scheme, or an explicit statement that none is required. |
| na | Example coverage | —/10 | No surface produced evidence for this capability in this run. | 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 examples0 pass0 warn0 fail40F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| 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 | 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. |
| 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 fail45F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| warn | Registry & SDK presencevia sdk | 14/28 | Official SDKs found in only 1 language(s); at least 3 is the target for broad agent coverage. Investigated: sdk 50%, docs 0%, cli 0%. Fix: Publish official SDKs for at least three of: JavaScript/TypeScript, Python, Go, Ruby, Java. | 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%. 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 docs0 pass0 warn1 fail40F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| 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%. Fix: Publish an AGENTS.md with setup, auth, and usage instructions a coding agent can follow. | 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 | 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 | 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 0 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%. Fix: Publish at least one public Postman workspace and link it from your developer portal so agents can use Run-in-Postman. | 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. |