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apparelhub-mcp

apparelhub-mcp

Official

approve_order

Idempotent

Approve a held order to release it for fulfillment; webhook orders may auto-submit to Printful/Printify, so verify auto_submitted and submit_error.

Instructions

Approve an order that is awaiting approval, releasing it for fulfillment. For sales-channel (webhook) orders this also auto-submits the order to the fulfillment provider (Printful/Printify). ALWAYS check auto_submitted in the result: false means the order is approved but NOT in production, and submit_error says why. Use when an order is held for review and the user wants to let it proceed.

[#87b954]

Input Schema

NameRequiredDescriptionDefault
workspaceNoWorkspace uuid to scope to (agency accounts). Omit for Default.
order_uuidYesThe order uuid (from list_my_orders / get_order_details).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.15.2

TDQS

A4.1/5.0
Behavior5/5

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

Annotations only declare openWorldHint and idempotentHint, so the description carries the real behavioral burden and does so well: it discloses the fulfillment-provider auto-submission side effect for sales-channel orders and instructs the agent to verify auto_submitted / submit_error afterward. This is genuinely useful non-obvious behavior beyond the structured data.

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

Conciseness4/5

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

Four well-ordered sentences: core action, side effect, critical caveat, and usage trigger, ordered by importance. Tight overall, though the trailing '[#87b954]' artifact is extraneous noise.

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 an order-mutation tool with no output schema, the description compensates by explaining the key return caveat (auto_submitted false means approved-but-not-in-production, with submit_error explaining why). It leaves out permission/reversibility details, but is otherwise sufficient to call correctly.

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 description coverage is 100%, so both parameters (workspace, order_uuid) are already documented in the schema. The description adds no parameter-level meaning, though the mention of auto_submitted/submit_error clarifies the result field rather than an input.

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 states a specific verb and resource ('Approve an order that is awaiting approval, releasing it for fulfillment') with clear scope. It is easy to understand, but it does not explicitly differentiate itself from close siblings such as approve_order_hold, confirm_order, or submit_order_to_fulfillment, which could be confusable.

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?

'Use when an order is held for review and the user wants to let it proceed' gives a clear activation condition. It stops short of naming the alternative tools or when-not to use this (e.g., vs. approve_order_hold or submit_order_to_fulfillment).

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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