Skip to main content
Glama

get_deals_v2

REQUIRED deliver_to. Get discounted products sorted by discount percentage. Always pass deliver_to="SG" (or your buyer's country). Returns schema.org/Product entities with schema.org/Offer properties: price, priceCurrency, availability, originalPrice, and discountPercentage. Covers Singapore, Malaysia, Indonesia, Thailand, Vietnam, and US e-commerce. Supports currency, region (sea, us, eu, au) and country (SG, US, VN, MY, ...) filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results (max 100, default 20)
offsetNoPagination offset
regionNoFilter by region (sea, us, eu, au)
countryNoAlias for country_code (deprecated, use country_code)
currencyNoFilter by currency code (SGD, USD, MYR, VND, THB). Defaults to SGD.SGD
deliver_toYesREQUIRED. Buyer delivery country/market (ISO country code, e.g. "SG", "US").
country_codeNoFilter by ISO country code. Alias: country.
min_discountNoMinimum discount percentage (default 10)

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are provided, so the description bears the full transparency burden. It does well by disclosing the sorted output behavior, the schema.org/Product return shape, the offer properties returned, and regional coverage. It does not discuss error cases, rate limits, or side effects, but the operation is clearly a read-style listing and the return shape is substantially covered.

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 dense but every sentence earns its place: required parameter, purpose, sort order, return shape, coverage, and filters. It front-loads the most critical constraint, 'REQUIRED deliver_to', and avoids filler.

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?

For a tool with 8 parameters and no output schema, the description is fairly complete: it states the required parameter, return entity type, key properties, and supported markets. However, there are inconsistencies that reduce reliability, such as claiming support for Indonesia while country_code's enum has no ID, and listing region values (eu, au) without covering corresponding markets.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3. The description adds value beyond the schema by emphasizing that deliver_to is required, prescribing 'SG' or the buyer's country, and enumerating the currency, region, and country filters. It does not explain every parameter, but the schema already documents those clearly.

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's action ('Get discounted products sorted by discount percentage') and resource, and adds return format and market coverage. However, it does not differentiate itself from the sibling tool get_deals, so an agent may not know why it should choose the v2 variant.

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?

The description gives a concrete usage instruction ('Always pass deliver_to="SG" (or your buyer's country)') and mentions available filters, which helps the agent call it correctly. But it does not explicitly state when to use this tool versus siblings like get_deals, search_products, or find_best_price, leaving the routing decision mostly implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation1/5

Five tools have near-identical v1/v2 pairs (compare_products, find_best_price, get_deals, get_product, search_products), making it very hard for an agent to know which variant to call without parsing subtle differences like required deliver_to. Although unique tools exist, the overlap dominates the surface.

Naming Consistency5/5

All tools use a consistent snake_case verb_noun pattern such as search_products, get_deals, compare_products, and list_categories. The versioned variants consistently append _v2, giving a predictable and easy-to-infer naming convention.

Tool Count4/5

13 tools is within a reasonable scope for a product-search and comparison MCP server. However, five of the tools are versioned duplicates that add little distinct capability, making the set feel slightly padded rather than optimally concise.

Completeness4/5

The tool surface covers the core buyer journey: search, compare, best-price lookup, deals, product details, similar products, categories, and catalog ingestion. Gaps are minor, such as no delete/remove catalog operation or dedicated merchant management, but primary shopping and product-discovery tasks are well supported.