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create_direct_buy_ship_order

Compatibility tool: create a manual Korean buy/shipping exception request for an overseas seller. K-Data Gate is primarily sourcing intelligence and listing automation. This records product, quantity, destination address, and seller responsibility consent. It does not collect money or trigger Korean purchasing; ordinary exceptions return payment_pending and risky requests return review_required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
imageNo
notesNo
companyNo
categoryNo
quantityYes
buyer_nameNo
product_urlYes
product_titleYes
target_marketNo
accepted_b2b_csYes
ship_to_addressYes
ship_to_countryYes
unit_estimate_usdYes
accepted_regulatory_noticeYes

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the tool does not collect money or trigger Korean purchasing, and mentions two possible return statuses. However, it does not discuss authentication, rate limits, or side effects beyond creating the exception request.

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

Conciseness3/5

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

The description is reasonably concise but includes a sentence about K-Data Gate's primary purpose which seems tangential. It could be more streamlined by removing that sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (15 parameters, no output schema, no annotations), the description fails to provide complete guidance. It does not explain error handling, prerequisites, or how the exception request is processed after creation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description should add meaning. It lists high-level data recorded (product, quantity, destination address, consent) but does not explain individual parameters like accepted_b2b_cs, accepted_regulatory_notice, or formatting requirements. With 15 parameters, this is insufficient.

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 states the tool creates a manual Korean buy/shipping exception request for overseas sellers. It specifies what it records and what it does not do (collect money, trigger Korean purchasing). However, it does not explicitly differentiate it from the sibling tool 'create_buy_ship_cart_order', which may have similar functionality.

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?

The description implies usage for manual exceptions when not wanting to collect money, but does not explicitly state when to use this tool versus alternatives like create_buy_ship_cart_order. No exclusions or when-not-to-use guidance is provided.

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

C2.9/5.0
Disambiguation4/5

Most tools have distinct purposes, but create_buy_ship_cart_order and create_direct_buy_ship_order are nearly identical, causing potential confusion. Additionally, build_buyer_discovery_queue and build_cash_sprint_packet overlap in targeting buyer segments.

Naming Consistency5/5

All tools follow a clear verb_noun pattern (build_, get_, create_, search_) with consistent snake_case, making it easy to infer functionality from the name.

Tool Count3/5

With 26 tools covering diverse domains (stock market, real estate, tourism, sourcing, etc.), the scope feels broad and somewhat bloated. A more focused set would improve coherence.

Completeness3/5

The tool set covers many aspects of Korea data and seller workflows, but notable gaps exist: no tools for actual listing posting, sending communications, or completing transactions, as many build_ tools explicitly exclude those steps.