get_cart
Storefront: the session's cart (X-Session-Id / Mcp-Session-Id).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Storefront: the session's cart (X-Session-Id / Mcp-Session-Id).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the disclosure burden. It does add useful behavioral context by naming X-Session-Id / Mcp-Session-Id as the session tie-in, and 'get' implies a read. It stops short of describing response shape, error behavior, or what happens when no session is supplied, so transparency is partial.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single compact phrasal sentence with no filler; each part adds either scope, identifier, or context. The 'Storefront:' prefix is slightly cryptic but not wasteful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read, it covers the essential facts: resource, scope, and required session identifiers. But there is no output schema or annotations, and the description does not explain return contents, errors, or how the cart relates to sibling storefront concepts, leaving notable gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters and 100% trivial coverage, so there are no parameter semantics for the description to add. The header mention goes beyond the empty schema and earns the zero-parameter baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the resource ('cart'), the scope ('the session's cart'), and the relevant domain ('Storefront'), naming the session identifiers that anchor it. This distinguishes it from cart-mutating siblings like add_to_cart, remove_from_cart, and update_cart_item, though the verb is only implicit in the tool name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The session-scoped wording implies the tool is used when the current session's cart is needed and the header names signal the prerequisite identifier. However, it gives no explicit when-to-use/when-not-to-use guidance or alternatives such as get_buy_list or checkout_handoff.
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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Most market-data and storefront tools are cleanly scoped, but there is meaningful overlap: get_full_board and get_engine_feed are near-duplicates, get_buy_list overlaps with get_morning_brief's candidate list, and get_orders / get_order_status are identical NotOffered stubs. The free/live twin pairs are clearly labeled so agents can distinguish latency/payment intent, but the sheer number of related reads creates selection friction.
The large get_* data family is very predictable (get_stock_read, get_stock_read_live, get_rotation, get_rotation_live), and storefront ools use clear verb_noun actions (add_to_cart, remove_from_cart, save_memory). Minor deviations like checkout_handoff and the get_live_setup / get_live_rules naming (which could be misread as *_live twins) keep it from a perfect score.
46 tools is well abovethe 25+ threshold for a coherent toset; at leat13 are direc live twins of free readable plus a 14-tool storefont/memory subdomain. Many could be consoliated into ingle tools with a delay/live param or a single storefront resource, making the surface feel bloated for agents.
The market-data surface is very comphehensive: regime, buy-list, hold-state, rotation, sector, stock, crypto day/night/trend/setups, full board, archived board, changes, and engine-feed coverage leave few dead ends for the stated trading-intelligence purpose. Storefont is adequate but has minor acknowledged gaps—orders/order-status are NotOffered stubs and session memories have no update/delete—so it is not a perfect 5.