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ActionShip by Teapplix Demo

Generate SSCC Pallet Label

teapplix_generate_sscc_label

Generate an SSCC (Serial Shipping Container Code) pallet label for bulk B2B shipments to distributors or 3PL warehouses. Used for EDI retailer orders (e.g. Home Depot, Walmart) that require GS1-compliant container labels, not for individual consumer orders. [DEMO]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
TxnIdsYesOrder IDs to generate SSCC labels for.
ProfileIdYesShipping profile ID to use for label generation.
ForceRegenNoForce re-generation even if a label already exists. Default: false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
StatusNo
MessageNo
ResultsNo
DocumentNo

TDQS

A3.8/5.0
Behavior2/5

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

Since annotations are generic (all false) with no readOnly or destructive hints, the description carries the full burden for behavioral disclosure. It mentions 'Generate' but does not disclose side effects such as order status changes, costs, or implications of ForceRegen beyond what the schema states. This is a gap for a write operation.

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?

The description is two sentences that are well-structured and front-loaded: the first states the core function, the second adds crucial context. The [DEMO] tag is extra but not distracting. Every sentence earns its place without redundancy.

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 the presence of a full output schema and complete parameter descriptions, the description provides sufficient context for basic invocation. It covers the main use case and exclusions but omits side-effect caveats, which are relevant but covered under behavioral transparency.

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?

The input schema already includes detailed descriptions for all three parameters (TxnIds, ProfileId, ForceRegen) with 100% coverage. The description adds no additional parameter-specific meaning, so it relies on the schema as the baseline.

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 'Generate an SSCC pallet label' and specifies the exact use case ('bulk B2B shipments', 'EDI retailer orders') with concrete examples (Home Depot, Walmart). It distinguishes itself from sibling label tools by explicitly noting it is 'not for individual consumer orders'.

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?

The description gives explicit when-to-use ('bulk B2B shipments to distributors or 3PL warehouses', 'EDI retailer orders that require GS1-compliant container labels') and when-not-to-use ('not for individual consumer orders'). However, it does not name a specific alternative sibling tool, so it does not fully meet the 'alternatives' criterion.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (orders, labels, rates, zones, profiles). A few name pairs like manage_tag vs manage_order_tags and set_order_ship_options vs update_order could be confused, but the descriptions explicitly clarify when to use each.

Naming Consistency5/5

All tools share the teapplix_ prefix and follow a consistent verb_noun pattern (e.g., get_orders, create_order, purchase_label, validate_address). The only deviation is the bare 'help' tool, which is conventional and does not disrupt the pattern.

Tool Count4/5

At 28 tools, the server is slightly over the ideal 3-15 range, but the breadth of shipping operations (orders, labels, rates, manifests, tracking, configuration) justifies the count. It is not bloated.

Completeness5/5

The tool surface covers the full order-to-shipping lifecycle: order create/update/retrieve, splitting/merging, label purchase and cancellation, rate quotes, tracking, manifesting, address validation, 3PL submission, and configuration (profiles, warehouses, queues, tags). No significant gaps are apparent.

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