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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_companies

Fetch B2B companies from your Shopify store with filters, sorting, and pagination for targeted access.

Instructions

Fetch B2B companies from the store

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoCursor for pagination
firstNoNumber of companies to fetch (1-250, default: 50)
queryNoFilter query (e.g., 'name:Acme')
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 only says 'Fetch B2B companies', implying a read operation, but does not mention pagination, sorting, filtering, default limits, or what data is returned. This is insufficient for a listing endpoint.

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, focused sentence with no unnecessary words. It is front-loaded with the action and resource. However, given the tool's complexity (5 optional parameters, pagination, filtering), the extreme brevity may border on under-specification.

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 description is too minimal for the tool's complexity. It does not mention return format, pagination behavior, filter syntax, or differentiation from related tools. Since there is no output schema and no annotations, the agent lacks essential context for correct invocation.

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 provides detailed descriptions for all five parameters, so the baseline is 3. The description adds no additional meaning beyond the schema, but no compensation is needed given the high 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 clearly states the action (fetch) and resource (B2B companies), and the plural form implies a list operation. However, it does not explicitly differentiate from the sibling get_company or other query tools like get_products, and does not mention filtering or pagination capabilities.

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 tool versus alternatives such as get_company, search_products, or get_customers. No context is provided about typical use cases 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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