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seasayDev

makiti-mcp

by seasayDev

product_search

Search the web for products and compare prices across retailers. Get product links, names, and prices, with options to filter by brand, retailer, and condition.

Instructions

Search for products across the web using shopping-focused queries. Returns product names, prices, retailers, and relevant links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNoPreferred brand (e.g. Apple, Samsung)
limitNoMax number of results to return (default 10)
queryYesProduct name or category to search for (e.g. "iPhone 15", "air fryer under 100")
retailerNoSpecific retailer domain (e.g. amazon.ca, bestbuy.ca)
conditionNoProduct condition: "new", "used", "refurbished"
max_priceNoMaximum price in CAD
min_priceNoMinimum price in CAD
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says it returns product data. It does not mention whether this is a read-only operation, any rate limits, pagination, or other behaviors. Minimal context beyond the core action.

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?

The description is two sentences, front-loading the action and returning valuable result details without any redundancy. Every word earns its place.

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

Completeness3/5

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

Given the tool has 7 parameters but all are schema-documented, and there is no output schema, the description provides a basic understanding but lacks usage context and behavioral details. It is adequate but has clear gaps for an agent to fully understand when and how to invoke it.

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?

The schema provides full descriptions for all 7 parameters, so the baseline is 3. The description adds no additional parameter-specific meaning beyond the schema, though it implies filters like price and retailer are part of the search context.

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

Purpose4/5

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

The description clearly states the tool searches for products across the web and lists the types of returned data (names, prices, retailers, links). It is specific with a verb and resource, but it does not explicitly differentiate from sibling tools like find_best_price or find_deals.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as product_compare or price_history. There are no exclusions, prerequisites, or contextual hints about appropriate use cases.

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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