# Wishbone Lisboa: Agent-Direct Score B (76.9%)

Site: http://www.wishbonelisboa.com/
Report: https://directindex.org/r/wishbonelisboa.com
Scanned: 2026-10-15 (Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.)
Wishbone Lisboa is mostly ready for agents.
An AI assistant can open the website of Wishbone Lisboa. It can read what Wishbone Lisboa offers. To book or order, it is sent to Uber Eats, a marketplace.

## Direct links
- Menu: https://wishbonelisboa.com/our-menu/
- Phone: +351967950102

## What to fix first
- **Ordering only through ubereats.** (+12 points) Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. Guide: https://directindex.org/guides/online-ordering-without-delivery-apps
- **No llms.txt.** (no points, still worth doing) Optional today, cheap to add: a short text file describing the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business

## Fix kit: What to paste

llms.txt. Save as /llms.txt at the root of the site.

```
# Wishbone Lisboa

> restaurant in Rua da Boavista 14, 1200-067, Lisboa, Lisbon. Phone +351967950102.

## Book or order directly

- Menu: https://wishbonelisboa.com/our-menu/

## About

- Website: http://www.wishbonelisboa.com/
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
```

## Already right
- **robots.txt lets AI crawlers in.** No rule blocks the key AI user agents.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- **Structured data present (Restaurant).** address, phone, opening hours
- **Menu or price list is an HTML page.** Agents can read items and prices directly.
- **Uber Eats works with agents through its partners.** Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en. An assistant that is not a partner may not finish the step there; a direct path on your own domain works for all of them.

## Where it stands
185 of 1101 in Lisbon. Top 17% of the sites scanned in this index.

| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 99% | no |
| Publish the menu or price list as HTML | 88% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 92% | yes |
| Structured data with address, phone and hours | 45% | yes |
| Have an llms.txt | 35% | no |

Nearest places in the index: Boavista Social Club (F, 5 m, https://directindex.org/r/boavistasocialclublx.com); Filho da Mae - restaurante bio (F, 17 m, https://directindex.org/r/casa-lisboa.com); Popular da Bica (F, 50 m, https://directindex.org/r/cervejamusa.com); Casa Graviola - Healthy Food (D, 86 m, https://directindex.org/r/casagraviola.com.br); Brilhante (C, 96 m, https://directindex.org/r/restaurantebrilhante.pt); Corrupio (D, 103 m, https://directindex.org/r/corrupio.pt); Guacamole - GMG (A, 105 m, https://directindex.org/r/guacamole.pt); Segundo Muelle (D, 122 m, https://directindex.org/r/segundomuelle.com); Amaru (C, 126 m, https://directindex.org/r/amarulx.com); Madame Petisca (D, 131 m, https://directindex.org/r/madamepetisca.pt).

## What assistants answer
Not asked yet. Assistants are asked about the top-ranked businesses in each city index, and about every claimed business the moment it is claimed; claim this page to be included.

Against its peers: Sites built with WordPress 58% (29% A or B, 36926 sites); Sites using Uber Eats 63% (34% A or B, 661 sites); This site 76.9%.

See what an AI agent reads on this site: https://directindex.org/r/wishbonelisboa.com/agent-view

## Businesses like Wishbone Lisboa in Lisbon

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Lisbon | 1101 | 50% | 27% | 76.9% |
| Sites built with WordPress in Lisbon | 377 | 62% | 37% | 76.9% |
| Sites using Uber Eats in Lisbon | 29 | 59% | 24% | 76.9% |
| Sites built with WordPress and using Uber Eats in Lisbon | 15 | 62% | 27% | 76.9% |

The best of the sites built with WordPress and using Uber Eats in Lisbon: Pizzaria Tapas La Famiglia (A 89.2%, https://directindex.org/r/groupcasaitalia.com); Guacamole - GMG (A 85.3%, https://directindex.org/r/guacamole.pt); Pasta Non Basta - Avenidas Novas (B 72.3%, https://directindex.org/r/grupononbasta.pt); Basílio (C 68.4%, https://directindex.org/r/nicolaugrupo.com); Burger Ranch (C 67.7%, https://directindex.org/r/burgerranch.com).

With the fix above (Ordering only through ubereats) the score would be about 95.4%: 12th of 1,101 in Lisbon, up from 185th.

## The direct record
What agents get for Wishbone Lisboa, as JSON: https://directindex.org/api/direct/wishbonelisboa.com
- Book: none on record
- Order: none on record
- Menu: https://wishbonelisboa.com/our-menu/ (html_page; from the scan)
- Hours: none on record
- Phone: +351967950102
- Stable links that count: https://directindex.org/go/wishbonelisboa.com/menu

## Can an agent transact?
Measured, not scored (the score stays at spec v1.0).
- UCP profile (/.well-known/ucp, Google and Shopify's Universal Commerce Protocol): no
- ACP discovery document (/.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol): no
- MCP server card (/.well-known/mcp/server-card.json): no
- Ordering vendor that takes agent orders (Square, Toast, or a vendor whose terms allow agents): no
- Vendor terms for agents, Uber Eats: Through partners. Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en

Found one hop past the home page: menu page /our-menu/: 10 prices.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 22 | 25 |
| Actionable | 3 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 1 of 5, Basic Web Presence. Cloudflare's report: https://isitagentready.com/wishbonelisboa.com
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: yes
- AI bot rules in robots.txt: yes
- Content Signals in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/content-signals/SKILL.md)
- Markdown on Accept: text/markdown: no (how: https://isitagentready.com/.well-known/agent-skills/markdown-negotiation/SKILL.md)
- llms.txt: no (how: https://isitagentready.com/.well-known/agent-skills/llms-txt/SKILL.md)
- API catalog (RFC 9727): no (how: https://isitagentready.com/.well-known/agent-skills/api-catalog/SKILL.md)
- MCP server card: no (how: https://isitagentready.com/.well-known/agent-skills/mcp-server-card/SKILL.md)
- A2A agent card: no (how: https://isitagentready.com/.well-known/agent-skills/a2a-agent-card/SKILL.md)
- Agent Skills index: no (how: https://isitagentready.com/.well-known/agent-skills/agent-skills/SKILL.md)
- OAuth or OIDC discovery: yes
- OAuth protected resource metadata: yes
- auth.md: no (how: https://isitagentready.com/.well-known/agent-skills/auth-md/SKILL.md)
- Web Bot Auth key directory: no (how: https://isitagentready.com/.well-known/agent-skills/web-bot-auth/SKILL.md)
- ARD capability manifest: no (how: https://isitagentready.com/.well-known/agent-skills/ard/SKILL.md)
- DNS-AID records: no (how: https://isitagentready.com/.well-known/agent-skills/dns-aid/SKILL.md)
- WebMCP tools on the page: no (how: https://isitagentready.com/.well-known/agent-skills/webmcp/SKILL.md)
- JSON-LD for the business: yes

Keep watching this business (https://directindex.org/r/wishbonelisboa.com/plan): the assistants asked again every month, with what changed; 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/wishbonelisboa.com/deep. Ten questions the way people ask, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF: 5 EUR, one-off. Reading and scanning stay free; these few euros pay for the questions sent to the assistants and for the servers.
Methodology: https://directindex.org/methodology · Rescan now: https://directindex.org/scan?url=wishbonelisboa.com&force=1