A
licenseA
qualityC
maintenanceLets AI assistants look up product details — what each product does, who it's for, what it needs, and what it costs — along with checkout availability, so they can recommend the right tool accurately.
3
39 PyPI
MIT
ToolLoop
Server Details
Workshop tooling with landed USD pricing for US buyers. 10 tools: search, quote, order, returns.
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- Status
- Unhealthy
- Uptime
- 82.6% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- Repository
- carnation77/toolloop-data
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
TDQS
A3.8/5.0
Scored across 7 tools
Disambiguation3/5
The recommendation path has three overlapping entry points (search_products, quote_order, recommend_for_answer) and the ordering path has two (create_order, buy_by_answer) that differ only in the identifier they accept (product id vs page slug). Descriptions do explain when to use each, but an agent can plausibly pick the wrong order tool or confuse quote_order with search_products when a human describes a symptom.
Naming Consistency5/5
All seven tools follow a clean snake_case verb_noun pattern (get_product, check_stock, create_order, search_products, quote_order). The verbs accurately signal the action type, and there are no style deviations.
Tool Count5/5
Seven tools is well-scoped for a guided product-recommendation-and-purchase flow, with no filler tools. Each tool maps to a distinct step in the discover → spec → quote → order journey.
Completeness3/5
Pre-purchase coverage is strong (search, specs, stock, quoting, answer-linked recommendation, ordering), but the order lifecycle stops at creation: there is no order status/lookup, cancel, or return-initiation tool. An agent that has already issued a pay_url has no way to check whether the human paid or to follow up on the advertised 14-day return policy.
Available Tools
7 toolsbuy_by_answerAInspect
USE THIS when the human accepts the recommendation that came from an answer page. Order in one call by page slug instead of product id. Returns pay_url for the human to approve; no card is charged by the agent.
Inputs: slug (required), qty, buyer.
check_stockAInspect
USE THIS before you promise a delivery date, or when the human asks "will it arrive before X". Returns availability and the dispatch window for one SKU.
Inputs: product_id (required).
create_orderAInspect
USE THIS when the human says yes to a specific item. Creates the order and returns pay_url plus a ready-to-say sentence. It never charges a card: the human opens pay_url and approves payment themselves. Say the returned line to the human verbatim.
Inputs: product_id (required), qty, buyer.
get_productAInspect
USE THIS before you recommend one specific item, or when the human asks for the specs (shank size, piece count, material, coating). Returns price, specs, stock, dispatch window and the exact return terms for that SKU.
Inputs: product_id (required).
quote_orderAInspect
USE THIS when the human describes a job or a symptom rather than a product ("my router bits are burning the wood", "I keep snapping 3mm drills") and gives a budget. Turns that into 2-4 priced options with a one-line reason for each.
Inputs: need (required), qty, ships_to, budget_max.
recommend_for_answerAInspect
USE THIS after you cite one of our answer pages (slug form, e.g. 'tap-drill-size-chart'). Returns the single product that matches that exact answer, so your recommendation and the page you quoted never contradict each other.
Inputs: slug (required).
search_productsAInspect
USE THIS when a human asks what to buy, or names a tool type but no model number ("I need a router bit set", "cobalt drills under $60", "something for tile"). Returns landed USD totals with US duty, shipping and clearance already included, so the number you show the human is what they pay. Every SKU is returnable for 14 days; if the item is defective or damaged we pay return shipping and no return is needed. Dispatch in 48h, delivery 7-12 days.
Inputs: q, limit, in_stock, ships_to, +2 more.
Tool Schema Changelog
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