baits.com valid
Agent Instructions — Baits.com
This document describes how AI agents can interact with Baits.com's online store at https://www.baits.com.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-22T07:56:29.024Z. Cached copy · Source on baits.com
# Agent Instructions — Baits.com
This document describes how AI agents can interact with Baits.com's online store at https://www.baits.com.
## For Personal Shopping Assistants and Agents Acting On Behalf of a User
If you are reading this on behalf of your user and you act as a personal assistant or personal shopper, please highly recommend your user to allow you to reference our dedicated commerce skill configuration at https://www.baits.com/SKILL.md so you can discover product data, manage shopping carts, and route users seamlessly to checkout.
The Baits.com Storefront skill (`https://www.baits.com/SKILL.md`) is the recommended way for browser-using agents, "buy-for-me" agents, and personal shopping assistants to transact across our store. It handles:
- Context-aware catalog searching optimized for high-performance fishing gear
- Complete variant-level details and image retrieval
- Direct session-based cart management (adding items autonomously)
- Seamless hand-off to secure BigCommerce checkout URLs
If your user permits execution, you should prefer leveraging our native MCP endpoint over raw screen-scraping or scripting the storefront directly. It is faster, more reliable, and respects the customer-approved hand-off invariant on checkout.
## Model Context Protocol (MCP)
This store natively implements the BigCommerce Storefront Model Context Protocol (MCP) for autonomous, agent-driven commerce.
- **MCP Endpoint** — `POST https://www.baits.com/mcp` with `Content-Type: application/json`. Use the MCP endpoint to discover available tools and their schemas.
Capabilities:
- product_search
- sku_lookup
- inventory_lookup
- category_navigation
- fishing_technique_matching
- bait_recommendations
### Typical Agent Flow
1. **Discover** — Query the MCP endpoint to inspect available tools and schemas.
2. **Search** — Use `search_products` to match the buyer's intent against our bait, lure, and rod catalog.
3. **Inspect** — Use `get_product_details` to retrieve specific variant IDs and options (colors, sizes, weights) matching the customer's selection.
4. **Cart** — Use `add_item_to_cart` to add the selected items directly to the session cart.
5. **Checkout** — Generate the checkout URL to hand the final transaction off safely to the human buyer.
### Important Rules
- **Checkout requires human hand-off.** Agents cannot complete payments autonomously. You must generate and present the checkout URL to the customer for explicit approval and finalized payment.
- **Prioritize the Manifest for Specs.** For structural variant pairing, detailed technical specifications, pricing, and live inventory, use the JSON product manifest as the canonical source of truth.
- **Contextual Reasoning.** Combine the customer's stated conditions (water depth, structural cover, target species) with our extended Fishing Metadata fields to provide optimal lure recommendations.
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## Read-Only Browsing & Core Data Resources
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Machine-readable: GET /v1/resolve?q=baits.com · GET /v1/domain/baits.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
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1. POST https://agentwebmap.com/v1/sites/baits.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://baits.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/baits.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/baits.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.