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Kodeas
by Kodeas

List e-commerce draft parcels

deftship_list_ecommerce_parcels
Read-only

List draft parcel orders imported from connected e-commerce platforms, with optional date range, platform, and order number filters.

Instructions

List draft parcel orders imported from connected e-commerce platforms (50 per page). Supports optional date range, platform and order_number filters. Rate limited to 20/min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoFilter end date, format Y-m-d.
platformNoPlatform, e.g. 'shopify'.
start_dateNoFilter start date, format Y-m-d.
order_numberNoPlatform order id or order number to look up.
Behavior5/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, so the description adds value by disclosing rate limits (20/min) and pagination (50 per page), which are beyond annotations. No contradiction.

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?

Two sentences cover purpose, pagination, filters, and rate limit without any fluff. Every sentence earns its place.

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?

Given 4 optional parameters, no output schema, and annotations present, the description is mostly adequate. It could briefly mention what kind of data is returned (e.g., parcel IDs, status) but is complete enough for a list endpoint.

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 100% with each parameter having a description in the input schema. The description only mentions the presence of filters without adding new meaning, so a baseline of 3 is appropriate.

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 clearly states the verb 'List', the resource 'draft parcel orders imported from connected e-commerce platforms', and includes pagination ('50 per page'), making it specific and distinguishable from sibling tools like get_parcel or create_parcel_order.

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

Usage Guidelines4/5

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

It specifies optional filters (date range, platform, order_number) and mentions rate limiting, giving clear context for when to use it. However, it does not explicitly state when not to use it or name alternatives from siblings.

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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