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Glama

get_cart

Retrieve the complete cart contents using pagination. Shows item titles, prices, quantities, and checked status to identify which items are included in the order.

Instructions

The whole cart (paginated through): items with title, price, quantity and checked — the tick is what decides the order's contents — plus Ozon's own group headings ("Доступны для заказа", «Бронирование товаров»).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsNoThe items actually read.
groupsNo
item_countNoHow many were read.
total_itemsNoHow many Ozon says the cart holds; a difference means the read came up short.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.1

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose meaningful behavior: pagination ('paginated through') and the semantic role of the `checked` field ('the tick is what decides the order's contents'). It omits auth requirements, rate limits, and empty-cart behavior, which are gaps for a zero-annotation tool, but the disclosed traits are genuinely useful.

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 single sentence is dense but not wasteful; the core scope ('The whole cart') is front-loaded, and the details on item fields, `checked` semantics, and group headings each earn their place. Slightly long due to parenthetical group-heading examples, but efficient overall.

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?

With an output schema present and zero parameters, the description covers the key aspects an agent needs: scope, pagination, item composition, the decisive `checked` field, and group headings. Minor omissions (empty-cart behavior, auth) are not critical given the output schema carries return-structure details.

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?

The tool has 0 parameters, so the baseline of 4 applies. There is nothing for the description to document beyond what the empty schema already conveys, and it adds no misleading parameter information.

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 clearly identifies the resource (the cart) and scope ('The whole cart... paginated through'), with specific detail on contents: items with title, price, quantity, and `checked`, plus group headings. The verb is implicit but unambiguous. It does not explicitly name a sibling to differentiate from, but the read-vs-mutate contrast with set_cart_quantity and select_cart_items is evident.

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 context is implied rather than stated — 'the whole cart' signals a full-read operation, and the read nature contrasts with mutation siblings. However, there is no explicit guidance on when to use this versus alternatives, no exclusions, and no note about prerequisites like being logged in.

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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