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shopify_fulfillments

Retrieve fulfillments for a specific Shopify order using its order ID to track shipment and delivery status.

Instructions

Get fulfillments for a Shopify order.

Input Schema

NameRequiredDescriptionDefault
api_keyNo
order_idYes
shop_domainNo
access_tokenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.11
    • changedInput schema / required
      Previous value: -[
      -  "shop_domain",
      -  "order_id"
      -]New value: +[
      +  "order_id"
      +]
  2. Addedv0.1.5

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden and does not meet it. It doesn't disclose that four parameters including api_key, shop_domain and access_token imply credential setup, nor does it mention read-only nature, pagination, or rate limits. 'Get' weakly implies a read, but nothing is stated explicitly.

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?

One front-loaded sentence with zero filler. It is efficient, though the brevity contributes to the gaps noted elsewhere rather than being a model of completeness.

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?

For a credentialed external-API tool with four parameters, no output schema, and no annotations, the description is far too thin. An agent cannot tell from it how to authenticate, what a fulfillment object contains, or whether the result is a list or single record.

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 description coverage is 0% across four parameters. The phrase 'for a Shopify order' hints that order_id is the key input, but the three authentication parameters (api_key, shop_domain, access_token) — all required in practice for a Shopify call — receive no explanation of role, format, or whether any are optional.

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 ('Get fulfillments') scoped to 'a Shopify order', which lets an agent distinguish it from siblings such as shopify_orders or shopify_inventory by resource name. It is clear but minimal – no statement of what a fulfillment record contains or how results are shaped.

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

Usage Guidelines2/5

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

There is no guidance on when to use this versus shopify_orders (which may also expose fulfillment data), no prerequisites, and no mention of ordering or filtering conditions. The agent must infer usage entirely from the tool name.

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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