Skip to main content
Glama

get_product

Get the full public detail of ONE product by its numeric id: name, price (VND), stock, category, long description and url. Read-only, no api_key required. WHEN TO USE: after search_products / list_category_products / best_sellers gave you an id and the user wants the full description of that single item. PREFER INSTEAD: compare_products to evaluate 2-5 ids at once, similar_products to find alternatives. Requires a known product id (not a name). Not for buying — pass the id to quote_order. Xem chi tiết 1 sản phẩm công khai theo id (kèm mô tả); chỉ đọc, không cần api_key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesProduct id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It states 'Read-only, no api_key required' and clarifies that a known product id, not a name, is required. It also describes the returned data fields, though error behavior and edge cases are not covered.

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

Conciseness3/5

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

The English content is well-organized and front-loaded, with clear WHEN TO USE / PREFER INSTEAD sections. However, the final Vietnamese sentence repeats the same purpose, read-only status, and auth info already covered in English, adding redundancy without new signal.

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

Completeness5/5

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

With no output schema, the description compensates by listing the return fields (name, price VND, stock, category, long description, url). It also supplies prerequisites, usage context, alternatives, and next-step routing to quote_order, making the tool safely callable without further research.

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 coverage is 100% for the single id parameter, but the description adds meaning beyond 'Product id.' by specifying that the id is numeric, must be a known product id rather than a name, and is the output of specific sibling search tools.

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 names a specific verb ('Get'), a single resource ('ONE product'), the identifier type ('numeric id'), and enumerates the returned fields (name, price VND, stock, category, long description, url). It also contrasts with siblings like compare_products and similar_products, so the tool's scope is unambiguous.

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

Usage Guidelines5/5

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

It provides an explicit 'WHEN TO USE' section naming the preceding tools (search_products / list_category_products / best_sellers) and the exact user-intent condition. The 'PREFER INSTEAD' section routes to compare_products and similar_products, and it explicitly excludes buying by directing to quote_order.

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.