Remove Pick
remove_pickRemove one saree from customer picks.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| saree_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
remove_pickRemove one saree from customer picks.
| Name | Required | Description | Default |
|---|---|---|---|
| saree_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds no behavioral detail beyond what the annotations already convey. It does not mention whether the removal fails if the saree is absent, whether it affects saved picks or cart, or any side effects. Since readOnlyHint=false and destructiveHint=false are already present, the description's single sentence simply restates the mutation without enriching the agent's understanding.
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, clear sentence with no filler. It front-loads the verb and object, making the core behavior instantly apparent.
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?
The tool is simple: one required parameter, no nested objects, and an output schema exists, so return-value explanation is unnecessary. But the description lacks usage context, alternative differentiation, and behavior on missing IDs, which are relevant for a mutation tool even with annotations present.
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?
With 0% schema description coverage, the description partially compensates by linking the single action to 'one saree', which reasonably maps to the saree_id parameter. However, it does not explicitly explain that saree_id identifies which saree to remove or mention any constraints beyond the schema's own pattern and length rules.
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 uses a specific verb ('Remove') and a clear resource ('one saree from customer picks'), making the tool's purpose immediately understandable. It differentiates from siblings like remove_from_cart by referring to 'picks' rather than 'cart', though it does not explicitly name the distinction.
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 guidance is given about when to use this tool versus alternatives such as remove_from_cart or save_pick. The description merely states the action, leaving the agent to infer the appropriate context from the tool name and sibling list.
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.