# Poolside

[docs.poolside.ai](https://docs.poolside.ai)

- **Overall score:** 93/100 (Grade A)
- **Checks passed:** 23 / 29
- **Last computed:** 2026-05-06

## Components

### Content Discoverability

- **Score:** 99/100 · **Status:** partial
- **Summary:** 1 warning across 6 AFDocs checks.
- **Rationale:** Agents need a clear entry point and crawl map before they can reliably discover the right pages.
- **Reference:** [AFDocs reference](https://afdocs.dev)

**Checks**

- ✅ **LLMS TXT Exists** — llms.txt found at 1 location(s)
- ✅ **LLMS TXT Valid** — llms.txt follows the proposed structure (H1, blockquote, heading-delimited link sections)
- ✅ **LLMS TXT Size** — llms.txt is 22,272 characters (under 50,000 threshold)
- ✅ **LLMS TXT Links Resolve** — All 15 same-origin sampled links resolve (136 total links)
- ✅ **LLMS TXT Links Markdown** — 15/15 same-origin sampled links point to markdown content (100%) (1 external link excluded)
- ⚠️ **LLMS TXT Directive** — llms.txt directive found in 14 of 15 sampled pages (1 missing) An llms.txt directive was found on some pages but is missing from others, or is buried deep in the page. Ensure the directive appears near the top of every documentation page.

### Markdown Availability

- **Score:** 93/100 · **Status:** pass
- **Summary:** 2 AFDocs checks pass.
- **Rationale:** When markdown is available directly, agents spend less effort stripping presentation markup and guessing structure.
- **Reference:** [AFDocs reference](https://afdocs.dev)

**Checks**

- ✅ **Markdown Url Support** — 14/15 sampled pages support .md URLs (93%)
- ✅ **Content Negotiation** — 14/15 sampled pages support content negotiation (93%)

### Page Size and Truncation Risk

- **Score:** 77/100 · **Status:** fail
- **Summary:** 1 failed across 4 AFDocs checks.
- **Rationale:** Large pages and delayed primary content increase truncation risk and make retrieval less reliable.
- **Reference:** [AFDocs reference](https://afdocs.dev)

**Checks**

- ✅ **Rendering Strategy** — All 15 sampled pages contain server-rendered content
- ✅ **Page Size Markdown** — All 14 pages under 50K chars (median 4K, max 13K)
- ❌ **Page Size Html** — 14 of 15 sampled pages convert to over 100K chars (max 435K, 30% boilerplate) 14 of 15 pages convert to over 100K characters of markdown. Reduce inline CSS/JS, break large pages, or provide markdown versions as a smaller alternative.
- ✅ **Content Start Position** — Content starts within first 10% on all 15 sampled pages (median 6%)

### Content Structure

- **Score:** 100/100 · **Status:** partial
- **Summary:** 1 skipped across 3 AFDocs checks.
- **Rationale:** Predictable sections, valid code fences, and serialized tabs make the content easier for agents to parse correctly.
- **Reference:** [AFDocs reference](https://afdocs.dev)

**Checks**

- ✅ **Tabbed Content Serialization** — 4 tab group(s) across 2 of 15 sampled pages; all serialize under 50K chars
- ⏭️ **Section Header Quality** — 2 page(s) with tabs found, but no section headers inside tab panels to evaluate
- ✅ **Markdown Code Fence Validity** — All 66 code fences properly closed across 15 pages

### URL Stability and Redirects

- **Score:** 99/100 · **Status:** partial
- **Summary:** 1 warning across 2 AFDocs checks.
- **Rationale:** Stable URLs and sane redirect behavior prevent retrieval drift and broken tool references.
- **Reference:** [AFDocs reference](https://afdocs.dev)

**Checks**

- ✅ **Http Status Codes** — All 15 sampled pages return proper error codes for bad URLs
- ⚠️ **Redirect Behavior** — 1 of 15 sampled pages use cross-host redirects 1 pages use cross-host HTTP redirects, which some agents don't follow. Where possible, use same-host redirects or update URLs to point directly to the final destination.

### Observability and Content Health

- **Score:** 97/100 · **Status:** partial
- **Summary:** 1 warning across 3 AFDocs checks.
- **Rationale:** Coverage, parity, and cache behavior determine whether agents can trust the content they retrieve.
- **Reference:** [AFDocs reference](https://afdocs.dev)

**Checks**

- ✅ **LLMS TXT Freshness** — llms.txt covers 100% of 130 sitemap doc pages
- ⚠️ **Markdown Content Parity** — 4 of 14 pages have minor content differences between markdown and HTML 4 pages have minor content differences between their markdown and HTML versions. Review for formatting variations.
- ✅ **Cache Header Hygiene** — All 16 endpoints have appropriate cache headers

### Authentication and Access

- **Score:** 100/100 · **Status:** partial
- **Summary:** 1 skipped across 2 AFDocs checks.
- **Rationale:** Agents need either public access or a clear alternative path when documentation is gated behind auth.
- **Reference:** [AFDocs reference](https://afdocs.dev)

**Checks**

- ✅ **Auth Gate Detection** — All 15 sampled pages are publicly accessible
- ⏭️ **Auth Alternative Access** — All docs pages are publicly accessible; no alternative access paths needed

### Full Content Discoverability

- **Score:** 100/100 · **Status:** pass
- **Summary:** llms-full.txt passes all checks.
- **Rationale:** A full-document snapshot gives long-context agents a single canonical corpus to ingest without repeated crawling.
- **Reference:** [llms-full.txt guide](https://www.mintlify.com/docs/ai/llmstxt#llms-full-txt)

**Checks**

- ✅ **LLMS Full Exists** — Found llms-full.txt.
- ✅ **LLMS Full Size** — llms-full.txt size is within the expected range.
- ✅ **LLMS Full Valid** — llms-full.txt has a recognizable markdown structure.
- ✅ **LLMS Full Links Resolve** — llms-full.txt links resolve successfully.

### Agent Skills

- **Score:** 100/100 · **Status:** pass
- **Summary:** skill.md passes all checks.
- **Rationale:** Agent skills provide product-specific operating guidance that plain documentation pages do not encode on their own.
- **Reference:** [skill.md guide](https://www.mintlify.com/docs/ai/skillmd)

**Checks**

- ✅ **Skill MD** — Found an agent skill definition.

### MCP Server

- **Score:** 100/100 · **Status:** pass
- **Summary:** MCP passes all checks.
- **Rationale:** A discoverable MCP server lets agents use first-class tools instead of scraping pages and inferring behavior.
- **Reference:** [MCP guide](https://www.mintlify.com/docs/ai/model-context-protocol)

**Checks**

- ✅ **MCP Server Discoverable** — Found an MCP server.
- ✅ **MCP Tool Count** — The MCP server exposes tools.