Shiprocket SOP
Last scanned shiprocket.documentationai.comDocumentation.AI15 pages tested
AI agents can find, read and use these docs well. Shiprocket SOP scores 98 out of 100 (grade A+), passing 22 of 27 checks. 5 still need work.
This covers the whole site. The documentation seems to live at docs.documentationai.com: scan it for a docs-only score.
Developer docs
Kind of site
22/27
Checks passed
2
Partly passed
3
Failed
Access
Content discoverability6 passed1 partly
llms.txt follows the standard structure
llms.txt contains parseable links but doesn't fully follow the proposed structure: https://shiprocket.documentationai.com/llms.txt: No blockquote summary found
Your llms.txt contains parseable links but doesn't follow the standard structure. Add an H1 title as the first line and a blockquote summary (lines starting with >) to improve agent parsing.
Check your fix: llms.txt starts with a
# Title, then a> summaryline, then##sections of links.llms.txt exists
llms.txt found at 2 locations; using https://shiprocket.documentationai.com/llms.txt as canonical
llms.txt fits in an agent's context
llms.txt is 8,998 characters (under 50,000 threshold)
llms.txt links work
All 15 same-origin sampled links resolve (42 total links)
llms.txt links point to Markdown
15/15 same-origin sampled links point to markdown content (100%)
Pages point agents to llms.txt
llms.txt directive found in HTML of all 15 sampled pages, near the top of content
Markdown pages point agents to llms.txt
llms.txt directive found in markdown of all 15 sampled pages, near the top of content
Markdown availability2 passed
Pages are available as Markdown
15/15 sampled pages support .md URLs (100%)
Server returns Markdown when asked
15/15 sampled pages support content negotiation (100%)
Page size and truncation2 passed2 failed
Markdown pages fit in context
1 of 15 pages exceed 100K chars (max 1221K)
1 of 15 markdown pages exceed 100K characters and will be truncated by agents. Break these into smaller pages or restructure serialized tabbed content.
HTML pages fit in context
1 of 15 sampled pages convert to over 100K chars (max 4680K HTML → 1225K markdown (91% boilerplate))
1 of 15 pages convert to over 100K characters of markdown. Break large pages into smaller units, reduce navigation boilerplate, or provide markdown versions that bypass the HTML conversion overhead.
Content is in the HTML without JavaScript
All 15 sampled pages contain server-rendered content
Content starts near the top
Content starts within first 10% on all 15 sampled pages (median 0%)
Content structure3 passed
Tabs don't bloat the page
No tabbed content detected across 15 sampled pages
Headings inside tabs name their variant
No tabbed content found; header quality check not applicable
Code blocks are well-formed
All 0 code fences properly closed across 17 pages
URL stability2 passed
Missing pages return a real 404
All 15 sampled pages return proper error codes for bad URLs
Redirects stay on the same host
No redirects detected across 15 sampled pages
Content health2 passed1 partly
Markdown matches the HTML page
1 of 15 pages have minor content differences between markdown and HTML
1 pages have minor content differences between their markdown and HTML versions.
llms.txt covers the whole site
llms.txt covers 95% of 43 sitemap doc pages; 1 llms.txt links not in sitemap (may indicate stale links or incomplete sitemap)
Cache headers allow timely updates
All 17 endpoints have appropriate cache headers
Authentication and access1 passed
Gated docs offer another way in
All docs pages are publicly accessible; no alternative access paths needed
Docs are readable without logging in
All 15 sampled pages are publicly accessible
Crawler access2 passed
Crawlers and AI assistants may read the docs
robots.txt lets Googlebot, Bingbot, OAI-SearchBot, PerplexityBot, Claude-SearchBot and Claude-User read the docs.
Sitemap lists the docs pages
The sitemap at https://shiprocket.documentationai.com/sitemap.xml lists 41 of the 43 docs pages found through llms.txt and page links.
Freshness
Maintenance2 passed1 failed
Links and section anchors work
2 of 36 references checked on the sampled pages are broken: 1 link and 1 section anchor.
Fix or remove the broken links, redirect moved pages to their new address, and restore or retarget section anchors. Agents follow links to gather context, and a dead link ends that path.
Check your fix: Every link on https://shiprocket.documentationai.com/Removed%20Content/financial-products (404) linked from https://shiprocket.documentationai.com/sop/vas-services returns 200, and every
#sectionlink points at an element with that id.Pages say when they were last changed
15 of 15 sampled pages state when they were last changed.
Sitemap entries still exist
All 10 sitemap entries sampled still exist.
Consistency with the API specNot applicable
Endpoints in the docs exist in the API spec
No OpenAPI description was found, so the docs could not be compared with a spec.
CurrencyNot applicable
Deprecated operations are marked as such
No OpenAPI description was found, so deprecation notices could not be compared with a spec.
Additional checks
MCP server is discoverable
An MCP server answers at https://shiprocket.documentationai.com/_mcp.
llms-full.txt is available
No llms-full.txt found at https://shiprocket.documentationai.com/llms-full.txt.
Publish /llms-full.txt with the full text of your docs in Markdown, so an agent can load everything in one request instead of crawling page by page.
Check your fix:
curl -sI https://shiprocket.documentationai.com/llms-full.txtreturns 200.Agent skills are published
No agent skills index was found at /.well-known/agent-skills/index.json.
Publish an Agent Skills index at /.well-known/agent-skills/index.json with a SKILL.md for your main tasks, so agents can load task instructions without reading every page.
About this scan
- Scanned
- Sep 29, 2026
- Pages tested
- 15 of 42 found
- Platform
- Documentation.AI
- Kind of site
- Developer docs
- AFDocs score, on its own
- 98 (A), 18 of 23 checks pass
- Based on 15 sampled pages, chosen deterministically from the sitemap and llms.txt. Pages outside the sample were not read.
- Pages were fetched without running JavaScript, the way most AI agents read the web.
- Answerability, where an AI agent answers real questions written from these pages, runs in the open-source scanner with your own API key. This web score is made of Access and Freshness.
Methodology 2026-09.6 · AFDocs 0.20.0
Pages we sampled (15)
- https://shiprocket.documentationai.com/amazon-courier-activation
- https://shiprocket.documentationai.com/cash-on-demand
- https://shiprocket.documentationai.com/sales-inquiry-qualification
- https://shiprocket.documentationai.com/sop/buyer-handling
- https://shiprocket.documentationai.com/sop/courier-shipping
- https://shiprocket.documentationai.com/sop/delivery-in-out-tat
- https://shiprocket.documentationai.com/sop/finance-tax-invoicing
- https://shiprocket.documentationai.com/sop/intro
- https://shiprocket.documentationai.com/sop/order-cancellation
- https://shiprocket.documentationai.com/sop/pickup
- https://shiprocket.documentationai.com/sop/rto-ndr
- https://shiprocket.documentationai.com/sop/shiprocket-cargo
- https://shiprocket.documentationai.com/sop/shiprocket-trends-appstore
- https://shiprocket.documentationai.com/sop/vas-services
- https://shiprocket.documentationai.com/sop/weight-discrepancy
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