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Picătura Naturii — Catalog doTERRA (MCP)

get_product_offer

Preț curent (regular/redus, monedă) și stoc (cantitate, status, disponibilitate) pentru un produs după SKU. Sursa e mereu WooCommerce — mereu curent, niciodată din cache editorial.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYesSKU-ul exact al produsului, ex. "DO-DRO-OG".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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 disclose a meaningful behavioral trait: the source is always WooCommerce and always current, never served from editorial cache — a freshness/authority guarantee not present in the schema. It still omits behavior for an unknown SKU, permission requirements, or latency characteristics, which keeps it short of a 5.

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?

Two compact sentences with the returned data front-loaded and the source guarantee second; no filler. Slightly dense phrasing but every clause earns its place.

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 one-parameter read tool with a fully documented schema and no output schema, the description usefully enumerates the returned fields and the data source. It would be complete with a note on what happens for a missing/invalid SKU.

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% and the single SKU parameter is fully documented with an example, so the baseline is 3. 'după SKU' merely restates what the schema already specifies without adding format or matching rules.

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 names a specific verb+resource (fetch current price and stock for a product by SKU) and enumerates the returned fields (regular/discounted price, currency; quantity, status, availability). It implicitly separates itself from content-oriented siblings via 'Sursa e mereu WooCommerce', but never names get_product or get_product_content explicitly.

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: call this when you need live price/stock for a known SKU. There is no explicit when-not guidance, no stated prerequisites, and no routing to alternatives such as get_product or search_products for other lookup patterns.

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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