# Parallel

[parallel.ai](https://parallel.ai)

- **Overall score:** 93/100 (Grade A)
- **Checks passed:** 16 / 29
- **Last computed:** 2026-05-11

## Components

### Content Discoverability

- **Score:** 94/100 · **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 35,710 characters (under 50,000 threshold)
- ✅ **LLMS TXT Links Resolve** — All 15 same-origin sampled links resolve (190 total links)
- ✅ **LLMS TXT Links Markdown** — 15/15 same-origin sampled links point to markdown content (100%)
- ⚠️ **LLMS TXT Directive** — llms.txt directive found in 4 of 6 sampled pages (2 missing); 9 failed to fetch 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:** 100/100 · **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** — 15/15 sampled pages support .md URLs (100%)
- ✅ **Content Negotiation** — 15/15 sampled pages support content negotiation (100%)

### Page Size and Truncation Risk

- **Score:** 86/100 · **Status:** fail
- **Summary:** 1 failed and 1 warning 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 15 pages under 50K chars (median 11K, max 37K)
- ❌ **Page Size Html** — 6 of 15 sampled pages convert to over 100K chars (max 543K, 24% boilerplate) 6 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** — 9 of 15 sampled pages have content starting at 10–50% (worst 12%) 9 of 15 pages have documentation content starting 10-50% into the converted output. Inline CSS or boilerplate consumes part of the agent's truncation budget before content begins.

### 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** — 2 tab group(s) across 1 of 15 sampled pages; all serialize under 50K chars
- ⏭️ **Section Header Quality** — 1 page(s) with tabs found, but no section headers inside tab panels to evaluate
- ✅ **Markdown Code Fence Validity** — All 61 code fences properly closed across 16 pages

### URL Stability and Redirects

- **Score:** 100/100 · **Status:** pass
- **Summary:** 2 AFDocs checks pass.
- **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** — No redirects detected across 15 sampled pages

### Observability and Content Health

- **Score:** 79/100 · **Status:** fail
- **Summary:** 1 failed 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 21/45 sitemap doc pages (47%); 24 missing; 119 llms.txt links not in sitemap (may indicate stale links or incomplete sitemap) Your llms.txt covers less than 80% of your site's pages. 24 live pages are missing from the index. Regenerate llms.txt from your sitemap or build pipeline.
- ✅ **Markdown Content Parity** — All 6 pages have equivalent markdown and HTML content (avg 0% missing); 9 failed to fetch
- ✅ **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:** 0/100 · **Status:** fail
- **Summary:** llms-full.txt has 1 failing check.
- **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** — No llms-full.txt file was discovered.
- ⏭️ **LLMS Full Size** — Skipped because llms-full.txt was not found.
- ⏭️ **LLMS Full Valid** — Skipped because llms-full.txt was not found.
- ⏭️ **LLMS Full Links Resolve** — Skipped because llms-full.txt was not found.

### Agent Skills

- **Score:** 0/100 · **Status:** fail
- **Summary:** skill.md has 1 failing check.
- **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** — No agent skill definition was discovered.

### MCP Server

- **Score:** 0/100 · **Status:** fail
- **Summary:** MCP has 1 failing check.
- **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** — No MCP server was discovered at the expected endpoints.
- ⏭️ **MCP Tool Count** — Skipped because the MCP server was not discoverable.