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cancel_checkout

Abort an unpaid checkout and release its checkout_id. Use if the customer changes their mind after create_checkout but before completing payment. Has no effect on orders already confirmed by webhook. To restart, create a new cart and checkout from scratch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checkout_idYes

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosure. It reveals a key behavior: no effect on orders already confirmed by webhook. However, it doesn't mention whether the operation is reversible, requires permissions, or impacts the associated cart beyond the implication of restarting from scratch.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences: action, usage context, exclusion and restart instruction. No redundant phrases, information is front-loaded, and every sentence adds value.

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 simple tool with one parameter and no output schema, the description covers the action, timing, limitation, and next steps. It lacks explicit error handling or cart side effects, but the restart instruction implies the cart is no longer usable, which is sufficient.

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 coverage is 0%, so the description must compensate. It does clarify that checkout_id refers to the checkout created by create_checkout, but it doesn't add format or type details beyond the schema's string type. For a single obvious parameter, this is adequate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Abort an unpaid checkout') and the resource ('checkout_id'). It clearly distinguishes from siblings like cancel_cart (cart vs checkout) and complete_checkout (finalization vs abort).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly states when to use: 'if the customer changes their mind after create_checkout but before completing payment.' It also provides an exclusion (no effect on webhook-confirmed orders) and an alternative (create a new cart and checkout).

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, but the presence of three search tools (search_catalog, search_products, lookup_catalog) and legacy tools (create_order, submit_enquiry) creates minor overlap. Descriptions help differentiate, but an agent might initially confuse them.

Naming Consistency5/5

All 26 tool names follow a consistent verb_noun snake_case pattern (e.g., cancel_cart, configure_product). No mixed cases or irregular verbs are present.

Tool Count4/5

26 tools is slightly high for a blind shop, but the domain requires many operations (search, pricing, cart, checkout, recommendations, etc.). Some legacy tools could be removed, but the count is still reasonable.

Completeness5/5

The tool surface covers the full customer journey from product discovery (search, recommendations) to purchase (cart, checkout, payment) and post-purchase (orders, swatches, price match, delivery estimates). No obvious gaps for the stated purpose.

Resources