TrustRails
Server Details
Search and compare 26,000+ UK electronics products across multiple retailers including AO.
Get real-time prices, stock availability, and price comparison across retailers in a single search. Covers laptops, phones, tablets, headphones, TVs, monitors, cameras, gaming, and more.
- Status
- Healthy
- Last Tested
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- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.7/5 across 2 of 2 tools scored.
The two tools serve distinctly different purposes: search_products handles discovery and filtering across the catalog, while get_product retrieves detailed specifications for a specific item. No functional overlap exists.
Both tools follow an identical snake_case verb_noun pattern (search_products, get_product) with clear, action-oriented verbs that consistently describe their operations.
At 2 tools, the set is borderline thin for an electronics comparison domain. While it covers basic search and retrieval, it lacks supporting operations like spec-based filtering, comparison helpers, or category browsing that would typically accompany such a service.
Basic read operations are present, but notable gaps exist for the electronics domain: no server-side filtering by technical specifications (e.g., RAM, storage) forces inefficient client-side filtering, and there are no tools for price tracking, alerts, or direct comparison operations.
Available Tools
2 toolsget_productAInspect
Get full details for a single product by ID. Returns complete technical specifications including specs.description (full prose spec text with processor, RAM, storage, display, ports etc), pricing, stock level, delivery time, and all retailer offers with per-retailer pricing. Accepts both canonical product IDs and original retailer offer IDs. Use this after search_products to get detailed specs for comparison or recommendations. Always call this when a user needs precise product attributes, compatibility info, side-by-side comparisons, or price comparison across retailers.
| Name | Required | Description | Default |
|---|---|---|---|
| product_id | Yes | The unique product ID from search results |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, description carries full burden. It details return structure (technical specs, pricing, stock, delivery, offers) and input flexibility (accepts canonical IDs and retailer offer IDs). Omits error handling or edge cases.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Four sentences with zero waste: purpose, return value details, input constraints, and usage guidelines. Every clause provides distinct information. Well front-loaded with core action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Comprehensive for a single-parameter read tool: explains purpose, return payload structure, input ID types, and workflow integration with search_products. Lacks only error condition disclosure to be complete given no output schema exists.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
While schema has 100% coverage describing product_id as 'unique product ID from search results', description adds crucial semantic detail that it also accepts 'original retailer offer IDs', clarifying input flexibility beyond the schema definition.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States specific action (Get full details), resource (product), and scope (by ID). Clearly distinguishes from sibling search_products by contrasting single-item retrieval vs search.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use: 'after search_products' and 'when a user needs precise product attributes, compatibility info, side-by-side comparisons, or price comparison.' Names sibling alternative and defines precise use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_productsAInspect
HOW TO CALL THIS TOOL — read before every call: Decompose the user's request into filters first. Only what's left over goes in query. STEP 1: brand name → brand filter. STEP 2: product category → category filter. STEP 3: price → min_price/max_price. STEP 4: what remains → query. BAD: query='Sony headphones under £200' | GOOD: brand='Sony', category='Headphones', max_price=200, no query. BAD: query='tablet' | GOOD: category='Tablets', no query. BAD: query='smartwatch' | GOOD: category='Wearables', no query. BAD: query='macbook neo' | GOOD: brand='Apple', category='Laptops', query='neo'. BAD: query='Samsung QLED TV' | GOOD: brand='Samsung', category='TVs', query='qled'. If brand+category alone cover what the user wants, omit query entirely. Only put differentiating terms in query: model lines (neo, ultra, oled), variants, model numbers (WH-1000XM5, s25 ultra). CROSS-CATEGORY NOTE: Gaming headsets → category='Headphones', query='gaming headset'. The Gaming category is consoles/controllers/accessories only. Always set lite=true. If 0 results, broaden the query or drop filters. Use get_product for full specs. Search 26,000+ deduplicated UK electronics products across multiple retailers with price comparison. Covers: Laptops, Desktops, Phones, Tablets, Headphones, Monitors, TVs, Cameras, Keyboards, Mice, Speakers, Gaming, Wearables, Printers, Networking, Storage, Audio, Drones, Cables & Chargers. All prices in GBP. Returns summary data: title, brand, price, availability, category, purchase link, offer_count. MANDATORY PRICE COMPARISON: For any product relevant to the user's needs, if offer_count > 1, you MUST call get_product before responding — never mention multiple offers without presenting the full comparison. A response is incomplete if it references offer_count > 1 without retailer pricing details. Show: cheapest retailer, all other prices with the difference, exact savings amount, delivery differences if relevant. The offers[] array is sorted cheapest first. Even when the user doesn't explicitly ask about price, if offer_count > 1 it's always worth mentioning the savings. For spec-based queries (RAM, ports, screen size, weight etc.), search first then call get_product on top 3-5 results — do not assume specs from titles. STOCK: When availability is out_of_stock, mention it as an alternative and suggest checking back — do not silently omit it.
| Name | Required | Description | Default |
|---|---|---|---|
| lite | No | Return trimmed product objects with only essential fields (id, title, brand, price, currency, availability, image_url, purchase_url, offer_count). Always set to true unless full product objects are needed. | |
| sort | No | Sort order: 'relevance' (default), 'price_asc' (cheapest first), 'price_desc' (most expensive first). | |
| brand | No | Filter by brand name (exact match, case-insensitive). Examples: Apple, Samsung, Sony, HP, Dell, Lenovo, Anker, Bose, LG | |
| limit | No | Maximum number of products to return (default 50, max 100) | |
| query | No | Refinement terms ONLY — model lines, series, variants, model numbers (e.g. 'neo', 'ultra', 'oled', 'WH-1000XM5', 's25 ultra'). NEVER a category name: BAD query='tablet', query='smartwatch', query='laptop'. Set the category filter instead. NEVER a brand name: BAD query='Sony'. Set the brand filter instead. NEVER a price. Omit entirely when browsing a category or brand — 'show me tablets' = category='Tablets', no query. | |
| category | No | Filter by product category. Use ONLY these exact values: Laptops, Desktops, Tablets, Phones, TVs, Monitors, Headphones, Speakers, Cameras, Keyboards, Mice, Printers, Networking, Storage, Gaming, Wearables, Drones, Audio, Cables & Chargers. NOTE: 'Smartphones' is not valid — use 'Phones'. 'Televisions' is not valid — use 'TVs'. For TVs, use query: 'smart TV' — it returns far more results than 'TV' alone. Avoid query: 'television'. | |
| max_price | No | Maximum price in GBP. | |
| min_price | No | Minimum price in GBP. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses read-only behavior (implied), returns summary data, mandatory price comparison, sorting, and stock handling. It also mentions the offers array is sorted cheapest first. However, it does not explicitly state read-only, nor mention any rate limits or authentication needs, though these are not critical for a search tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is longer than average but well-structured with clear sections (HOW TO CALL, STEPS, notes, mandatory actions). It is front-loaded with the most critical guidance. While it could be slightly trimmed, every sentence contributes to correct usage, so it earns its length.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, no output schema, no annotations), the description compensates fully. It explains the output format, behavior for different scenarios (cross-category, stock, price comparison), and mandates calling get_product for full specs. It covers edge cases and provides enough context for an agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, but the description adds significant value beyond schema by explaining how to correctly decompose user requests into parameters, providing examples of good and bad queries, specifying exact category values, and noting that lite should always be true. This goes far beyond the schema's short descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches 26,000+ UK electronics products and returns summary data for price comparison. It distinguishes from the sibling tool get_product, which is for full specs. The verb 'search' and resource 'products' are explicit, and the scope (electronics, UK, price comparison) is well-defined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides extensive step-by-step guidance on decomposing requests into filters vs query, with good/bad examples. It explicitly states when to use this tool vs get_product (if offer_count > 1 or for spec queries), and includes cross-category notes and handling of out-of-stock items. No alternative tools are listed besides get_product, but the instructions are clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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