# Fable: agent door 49, human door not measured
- Site: fablepets.com
- Scanned: 2026-09-09
- Scan type: Basic scan
- Business type: ecommerce
- Report: https://www.seconddoor.io/r/fablepets-w3kdyu
- Scanner version: 32
0 human and 4 agent dimensions measured from the pages checked; remaining dimensions are not scored.
## Scores
| Measure | Score |
| --- | --- |
| Humans | not measured |
| Agents | 49/100 (4/6 dimensions) |
| Composite | 49/100 |
Agent door only. The human door could not be measured on this scan. A Door Gap needs both doors, so this scan does not report one.
## What the machine actually did
The scanner recorded successful observations for 7 of 16 checks, but could not find a contact route for machines. It came up empty on 8 other checks too. 1 checks could not be measured; see the report limitations.
- ok      reach the site at all
- ok      find out whether machines are welcome
- ok      ask whether the door opens for requests carrying the AI crawlers' names
- ok      read the site's own guide for language models
- ok      find out what pages exist
- missing find a contact route for machines
- missing find a published agent interface
- missing find an agent plugin manifest
- missing find out whether verified agents are recognised
- ok      read the homepage as data rather than as a page
- missing find a machine readable API spec
- missing read the developer documentation
- ok      read the product catalogue as data
- missing read a product page as data
- missing read the returns and shipping terms
- missing walk the way a visitor would, to a signup form or a product
## Top issues
1. **No valid security.txt was identified at /.well-known/security.txt.** (machine_fetchable_trust)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/fablepets-w3kdyu
## Files generated from this scan
- **Product markup for HuggleHounds Louise Lamb  Plush Dog Toy** at `/products/louise-lamb-hugglefleece%C2%AE-flufferknottie%E2%84%A2-plush-dog-toy`, 30 minutes, developer. Verify: The next scan reads price, currency and availability in the Product markup of at least one product page, with the structured price matching the catalogue feed.
- **Product markup for Reggie Raccoon HuggleFlatties™ Durable Plush Dog Toy** at `/products/reggie-raccoon-huggleflatties%E2%84%A2-durable-plush-dog-toy`, 30 minutes, developer. Verify: The next scan reads price, currency and availability in the Product markup of at least one product page, with the structured price matching the catalogue feed.
- **Product markup for Sly Fox Knottie® Plush Dog Toy** at `/products/sly-fox-knottie%C2%AE-plush-dog-toy`, 30 minutes, developer. Verify: The next scan reads price, currency and availability in the Product markup of at least one product page, with the structured price matching the catalogue feed.
- **Product markup snippet for every product page** at `snippets/seconddoor-product-jsonld.liquid`, 30 minutes, developer. Verify: The next scan reads price, currency and availability in the Product markup of every product page it samples, with the structured price matching the catalogue feed.
- **Put Okendo reviews in the page** at `notes`, 10 minutes, no developer needed. Verify: The next scan finds review text in the server HTML of a product page.
- **robots.txt rules for AI crawlers** at `/robots.txt`, 10 minutes, no developer needed. Verify: The next scan reads robots.txt and finds every search and agent crawler allowed, none of them kept off product or pricing paths.
- **Variants missing a GTIN or a brand** at `catalog-identifiers.csv`, 5 minutes, no developer needed. Verify: The next scan reads the catalogue feed and finds a valid GTIN on at least nine in ten variants and a brand on at least nine in ten products.
- **OpenAI product feed** at `openai-product-feed.tsv`, 20 minutes, no developer needed. Verify: The next scan finds a valid GTIN and a brand on the sampled variants and the product pages carry the fields a feed listing needs.
- **security.txt** at `/.well-known/security.txt`, 10 minutes, no developer needed. Verify: The next scan fetches /.well-known/security.txt as text and the security.txt check passes.
Each file is written from what this scan found on the site. The content is in the JSON once the evidence is opened: https://www.seconddoor.io/api/reports/fablepets-w3kdyu
## The agent door
- **machine_discoverability** 97/100. No restriction on the tested crawler names was found in robots.txt. on its first visit, our browser read the homepage. no user agent rule refused the tested retrieval crawler names. a sitemap listing 67 URLs.
- **programmatic_onboarding** 10/100. No API interface was identified through the discovery paths and homepage links checked.
- **pricing_legibility** not measured. Not measured: our scanner could not identify the required evidence on the pages checked.
- **agent_aware_instrumentation** 49/100. No MCP manifest was identified at the discovery paths checked. a Universal Commerce Protocol manifest is published. a storefront MCP endpoint answered the tested tools/list request. the catalogue answers as data at /products.json.
- **machine_fetchable_trust** 40/100. No security.txt was identified at the checked path. the homepage answers automated requests.
- **commercial_rails** not measured. Not measured: our scanner could not identify the required evidence on the pages checked.
## The human door
- **steps_to_first_value** not measured. Not measured: our scanner could not identify the required evidence on the pages checked.
- **required_fields** not measured. Not measured: this scan did not reach the page or action needed to verify it.
- **verification_walls** not measured. Not measured: this read-only scan did not submit the form or perform the action needed to test this behavior.
- **error_recovery** not measured. Not measured: this read-only scan did not submit the form or perform the action needed to test this behavior.
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Scored by SecondDoor. Method: https://www.seconddoor.io/methodology
Scan another site: https://www.seconddoor.io
Rate an issue or this report: POST https://www.seconddoor.io/api/feedback, or the rate_fix tool on https://www.seconddoor.io/api/mcp
