Remove From Cart
remove_from_cartRemove one customer cart item.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| item_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
remove_from_cartRemove one customer cart item.
| Name | Required | Description | Default |
|---|---|---|---|
| item_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already disclose readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the mutation and safety profile is covered without description help. The description adds only a minor scoping note ('one' item) and does not address behavior for unknown item_ids, whether the entire line is removed, or side effects on cart totals. It does not contradict the annotations.
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?
Five words forming one direct sentence with the verb front-loaded — there is zero padding or schema boilerplate. It is efficient rather than merely short, since it conveys verb, resource, and scope. It leans toward under-specification on usage guidance, but as a statement of the operation it earns its place.
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?
Complexity is low (one required parameter, no nested objects), an output schema exists, and annotations cover the mutation profile, so much of the operational context is supplied externally. The real gaps are usage routing versus set_cart_quantity/remove_pick and the provenance of item_id, which an agent needs to call the tool correctly. Adequate for a simple tool, but not complete.
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?
Schema description coverage is 0%, so the burden falls on the description to explain item_id, yet it only implies the parameter identifies a cart item. It does not specify where item_id comes from (e.g., a prior get_cart response) or clarify whether it is a cart line ID versus a product ID. Given the complete lack of schema descriptions, this compensation is minimal.
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?
States a clear operation: 'Remove one customer cart item.' The verb 'Remove' and resource 'customer cart item' are specific and unambiguous, and the word 'one' scopes it to a single line item. It does not explicitly differentiate from siblings like remove_pick or set_cart_quantity, but the resource scope is clear enough to understand what it does.
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?
No when-to-use guidance, exclusions, or alternatives are provided. With sibling tools such as set_cart_quantity (which can set a quantity to zero) and remove_pick, an agent receives no help choosing among them. The single sentence only restates the operation without routing context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are clearly separated by resource and action (cart, orders, tickets, picks, payments), so an agent can generally select the right one. The only notable ambiguity is resume_payment vs retry_payment, which both describe acting on an unpaid hosted payment attempt with nearly identical wording.
All 29 tools follow a consistent snake_case verb_noun (or verb_preposition_noun) pattern with standard verbs like get, list, create, close, remove, and set. There are no mixed conventions or vague generic names.
At 29 tools this is a heavy surface, but the broad e-commerce scope (catalog, cart, checkout, payment, orders, support, rewards) justifies most of them. A few payment-attempt tools could be consolidated, so it sits at the overbuilt rather than absurdly bloated end.
The set covers the main customer journey from browsing/searching sarees through cart, checkout, payment status, orders, and post-purchase support. Minor gaps exist—for example, no explicit apply_coupon/redeem_points tool or standalone catalogue listing—but agents can work around them with validate_coupon, checkout summary, and search.