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search_products

Search the Merka2a marketplace for products by specifying a category and applying filters like budget, brand, condition, and specifications.

Instructions

Search the Merka2a marketplace for products. Provide a category and optional filters like budget, brand, specs. All prices are in the main currency unit (e.g. 1500 means GBP 1,500.00).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoFree-text search query, e.g. "lightweight laptop with 16GB RAM"
categoryNoProduct category, e.g. "electronics.laptops", "electronics.monitors". If omitted, inferred from query.
max_budgetNoMaximum budget in major currency units (e.g. 1500 for GBP 1,500)
currencyNoISO 4217 currency code (default: GBP)GBP
budget_preferenceNoBudget preference
quantityNoNumber of units needed (default: 1)
conditionNoAcceptable product conditions
brandNoBrand/manufacturer filter
min_ram_gbNoMinimum RAM in GB (electronics)
min_storage_gbNoMinimum storage in GB (electronics)
max_delivery_daysNoMaximum acceptable delivery time in days
destination_countryNoISO 3166-1 alpha-2 destination country code, e.g. "GB", "US"
negotiable_onlyNoIf true, only return offers open to price negotiation
limitNoMax results to return (default: 10)
Behavior2/5

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

With no annotations, the description only adds that prices are in main currency units (e.g., 1500 = GBP 1,500). It omits other behavioral traits such as result format, pagination, cross-seller search, or sorting behavior.

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

Conciseness5/5

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

Two sentences with no fluff. First sentence states purpose, second adds an important price clarification. Efficient and well-structured.

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

Completeness2/5

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

Despite 14 parameters and no output schema, the description is very sparse. It lacks high-level guidance on category formats, result count, sorting, or how to combine filters effectively. Incomplete for a complex search tool.

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 100%, so baseline is 3. The description adds minimal value beyond the schema, only repeating 'category and optional filters' and the price note. No extra semantic guidance on parameter usage.

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?

The description clearly states the tool searches the Merka2a marketplace for products, using a category and optional filters. This distinguishes it from sibling tools like get_product (single product) or browse_categories (category discovery).

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?

It mentions providing a category and filters, but does not explicitly state when to use this tool versus alternatives like browse_categories or get_product. No guidance on prerequisites or exclusions.

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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