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Search appliances

search_products
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Search the appliances Ruislip Appliances (West London) sells: washing machines, dishwashers, fridge freezers, ovens, hobs, cookers, hoods and more from Bosch, Neff, Siemens, Miele, Smeg, Liebherr, AEG, Samsung and others. Returns model, name, price in GBP inc VAT, availability (in_stock, special_order or graded_only), graded units and graded_from_gbp where discounted graded stock exists, and the product page URL.

Input Schema

NameRequiredDescriptionDefault
brandNoExact brand from list_brands, e.g. 'Bosch'
limitNo
queryNoWords or a model number, e.g. 'integrated dishwasher', 'Bosch washing machine 9kg', 'WGB256090GB'
conditionNonew, graded (discounted, cosmetic marks only, full warranty) or anyany
max_priceNoMaximum price in GBP inc VAT
min_priceNoMinimum price in GBP inc VAT
departmentNoExact department name from list_departments, e.g. 'Dishwashers'
in_stock_onlyNoOnly items in stock in our Ruislip warehouse (fastest delivery)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the safety profile (readOnlyHint, openWorldHint false), so the description earns credit for disclosing the return shape: model, name, GBP inc VAT price, the three availability states, graded stock fields and a product URL. It does not say anything about result ranking, pagination or default limit behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose, second sentence devoted to return values. The long field enumeration is dense but each element carries information an agent needs; nothing is redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description correctly carries the return-value burden, describing fields and the graded-stock edge case. It falls short on behavior an agent would want for an 8-parameter, all-optional search: ranking, default result count, and whether results are broadened when filters match nothing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 88%, so the schema already explains brand, quantity, query, condition, price bounds and department. The description adds only marginal meaning, notably the availability value vocabulary (in_stock, special_order, graded_only) and that prices include VAT, without explaining any individual parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb (search) and resource (appliances sold by Ruislip Appliances) and scopes it with category and brand lists. It is clearly distinguishable from siblings like get_product, list_brands and list_departments, which do single-item lookup or enumeration rather than keyword search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is the entry point for finding products, but the description never says when to prefer it over get_product or when to first call list_brands/list_departments to resolve the exact-name parameters. No exclusions or prerequisites are stated.

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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