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Glama

Ürün detayı

get_product
Read-onlyIdempotent

Retrieve complete product details—specs, stock, pricing, datasheet, and alternatives—by Özdisan code, product URL, or manufacturer part number for catalog lookups and BOM checks.

Instructions

Full details of one product: manufacturer, part number, description, lifecycle status, RoHS, category path, all technical specs, stock, incoming stock, lead time, MOQ / order multiple / MPQ, quantity price breaks (VAT excluded), datasheet URL, image and product page URL. Optionally includes substitutes / similar products / accessories.

Input Schema

NameRequiredDescriptionDefault
productYesProduct identifier. Accepts the Özdisan product code (the numeric 'product' field returned by other tools, e.g. '368374'), a product URL from ozdisan.com, or an exact manufacturer part number (e.g. 'STM32F103C8T6').
currencyNoPrice currency: TRY (default), USD or EUR. Prices are unit prices excluding VAT.
languageNoLanguage of category/property names: 'tr' (Turkish, default) or 'en' (English).
include_alternativesNoAlso return substitute, similar and accessory products (default false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already declare read-only, idempotent, non-destructive, and open-world behavior. The description adds useful behavioral context by specifying the returned data areas, VAT-exclusive pricing, and optional alternatives, though it does not describe not-found handling or error behavior.

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 core purpose and then lists returned fields in one sentence. The field list is long but purposeful; there is little filler, though it could be more scannable.

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?

No output schema exists, so the description appropriately carries the return-value burden and comprehensively lists the product fields, pricing basis, and optional alternatives. It is nearly complete for a read-only detail tool, but it omits behavior for missing products or ambiguous identifiers.

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 schema already explains product identifiers, currency, language, and include_alternatives. The description reinforces VAT exclusion and optional alternatives but adds no syntax or format details beyond the schema.

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 clearly states a specific verb and resource: it returns full details of one product. It enumerates the data included, making the single-product detail scope distinct from list-oriented siblings such as search_products and filter_products.

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?

Usage is implied by 'one product' and by the optional alternatives note, but the description does not explicitly say when to use this instead of search_products, get_alternatives, or compare_products. There is no explicit when-not-to-use guidance.

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