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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_draft_orders

Retrieve draft orders from your Shopify store with pagination, filtering, and reverse sorting options to manage pending orders efficiently.

Instructions

Fetch draft orders from the store

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoCursor for pagination
firstNoNumber of draft orders to fetch (1-250, default: 50)
queryNoFilter query
reverseNoReverse the sort order
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It merely states 'Fetch' without mentioning pagination behavior, default limits, sorting, filtering, or any side effects. This leaves the agent uninformed about important operational characteristics.

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?

The description is a single concise sentence with no redundant wording. It is appropriately front-loaded, though it could be slightly more informative without losing conciseness.

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 tool with no output schema and no annotations, the description is incomplete. It does not clarify return format, pagination behavior, or how the optional parameters (e.g., 'query', 'reverse') affect results, leaving significant gaps for a 4-parameter retrieval tool.

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 covers all 4 parameters with descriptions, so the baseline is 3. The description adds no additional parameter semantics beyond what the schema already provides, which is acceptable given full schema coverage.

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 'Fetch draft orders from the store' uses a specific verb and resource, clearly indicating the tool retrieves draft orders. The plural 'draft orders' distinguishes it from the sibling 'get_draft_order' (singular), though it does not explicitly state this differentiation.

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?

No guidance is provided on when to use this tool versus alternatives like 'get_draft_order' or 'get_orders'. The description entirely lacks context about use cases, exclusions, or selection criteria.

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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