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find_best_price_v2

REQUIRED deliver_to. Use this whenever a user asks about prices, wants to find the cheapest option, or asks "what's the best price for X" or "where can I buy X for the lowest price". Always pass deliver_to="SG" (or your buyer's country). Returns schema.org/Product entities with schema.org/AggregateOffer (lowPrice, offerCount, priceCurrency) across all merchants. Response includes a shopping_job_id (UUID) you can use to resume a multi-merchant price-comparison session for the buyer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoKeyword search query — alias for product_name
regionNoRegion filter - use "us" for United States or "sea" for Southeast Asia
countryNoAlias for country_code (deprecated, use country_code)
categoryNoCategory to filter by (e.g., "electronics", "fashion")
deliver_toYesREQUIRED. Buyer delivery country/market (ISO country code, e.g. "SG", "US").
country_codeNoCountry to search in (defaults to SG). Alias: country.
product_nameNoProduct name to find best price for (e.g., "iphone 15 pro 256gb", "samsung galaxy s24")

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing the return format (schema.org/Product with AggregateOffer fields) and the shopping_job_id session mechanism. It does not discuss potential side effects, rate limits, or authentication, but for a price-lookup tool the behavioral context is reasonably complete.

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?

The description is front-loaded with the required parameter and usage triggers, and each sentence adds useful information. It is slightly repetitive around deliver_to, but overall it is well-organized and reasonably concise for the amount of context it provides.

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?

Given the absence of an output schema, the description does a good job explaining the response structure (Product entities, AggregateOffer, shopping_job_id). It could be more complete by explaining how to use the shopping_job_id to resume a session or specifying pagination/error behavior, but the essential calling context is present.

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 description coverage is 100%, so the baseline is 3. The description adds some value by emphasizing deliver_to as required and suggesting a default ('SG'), but it does not explain q vs product_name aliases or the region/country relationship beyond what the schema already provides.

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 states a specific verb and resource: finding the best price across merchants, with explicit user-query triggers such as 'what's the best price for X' or 'where can I buy X for the lowest price'. It clearly conveys what the tool does, but it does not explicitly differentiate itself from sibling tools like find_best_price or compare_products.

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

Usage Guidelines4/5

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

The description gives explicit when-to-use guidance ('Use this whenever a user asks about prices...') and a concrete instruction to always pass deliver_to in the buyer's country. It does not mention when not to use the tool or name alternative tools for other 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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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.