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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_price_rules

Fetch price rules for automatic discounts, with filters for status or title, sorting by date, and pagination to manage Shopify promotions.

Instructions

Fetch price rules for automatic discounts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoCursor for pagination
firstNoNumber of price rules to fetch (1-250, default: 50)
queryNoFilter query (e.g., 'status:active', 'title:Summer Sale')
reverseNoReverse the sort order
sortKeyNoField to sort by
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It implies read-only through 'Fetch' but does not explain pagination, default limits, filtering behavior, or response format, which are critical for an effective agent.

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, clear sentence with no wasted words, front-loading the action and resource. It could be expanded with usage context, but for its length it is appropriately concise.

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?

The tool has 5 optional parameters and no output schema, yet the description only states the basic purpose. It omits common usage patterns, return value expectations, or any caveats, making it insufficient for full agent comprehension.

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%, and the schema already provides clear descriptions for each parameter (cursor, limit, query, sort, reverse). The tool description adds no additional parameter semantics, but the baseline 3 is appropriate given the schema's thoroughness.

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 clearly identifies the action (Fetch) and resource (price rules) with a specific purpose (for automatic discounts). However, it does not explicitly differentiate between this and the sibling get_price_rule tool, though the plural form hints at a list operation.

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 given on when to use this tool versus alternatives like get_price_rule, get_discounts, or create_price_rule. The description only states the basic function without any context or exclusions.

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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