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Glama

get_product

Get details of one public product by id, including description. Xem chi tiết 1 sản phẩm công khai theo id (kèm mô tả).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesProduct id.

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It conveys that the operation is a read of a public product and that the response includes description, which is useful. It does not mention error behavior, rate limits, or authentication requirements, though 'public' reduces some ambiguity.

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 short and front-loaded with the English meaning; the Vietnamese sentence is a direct translation rather than new content. It earns most of its space, but the duplication and the slightly redundant 'including description' keep it from being flawless.

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?

For a simple one-required-parameter read tool, this description provides enough to understand the target and how to call it. There is no output schema and no explicit response shape or error handling, but those are minor gaps for a low-complexity public lookup.

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 already documents the only parameter, id, as an integer with 'Product id.' Since schema description coverage is 100%, the baseline applies. The description adds a 'public product' constraint on the id but no additional format, range, or input-validity details.

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 action and resource: get details of one public product by id, including its description. This clearly reads as a single-item lookup and is semantically distinct from search/list siblings, though it does not explicitly name an alternative or say which sibling to prefer.

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 intended use is implied: call this tool when you already have a product id and need that product's details. It does not explicitly say when to prefer search_products, list_category_products, or similar_products, and it gives no exclusions beyond the 'public' scope.

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

A3.7/5.0
Disambiguation3/5

Product discovery tools such as best_sellers, latest_products, recommend_products, and similar_products have related listing purposes and could be confused, though descriptions clarify sorting and filtering criteria. Social-check tools also overlap: check_live_facebook, deep_inspect, and check_health_bulk can all verify Facebook accounts. Most tools are distinct, but the boundaries are not always crisp.

Naming Consistency4/5

The dominant convention is snake_case verb_noun, e.g. buy_product, search_products, list_categories, check_order_status. A few names deviate, such as best_sellers, latest_products, similar_products, how_to_start, and deep_inspect, but they are still readable and predictable.

Tool Count3/5

With 19 tools, the set falls into the 16-25 heavy range and could be trimmed: there are nine product-listing/search/recommend tools and three overlapping social-check tools. The count is not extreme, and the combined commerce-plus-verification scope is covered, but it feels heavier than necessary.

Completeness4/5

The core commerce workflow is complete: discover products, quote, confirm purchase, check order status, and view balance. Minor gaps include no order-history tool, no cancellation tool, and no actual top-up execution, but these are workaroundable for the stated shop purpose.

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