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barlasarda91

Shopify MCP Server

by barlasarda91

get-customers

Find Shopify customers by name, email, phone, or order count, then retrieve their details. Use this to look up customer records and segment audiences.

Instructions

List customers, optionally filtered by a search query (name, email, phone, or e.g. 'orders_count:>5').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of customers to return
searchQueryNoShopify customer search query, e.g. an email address or name

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does reveal that the tool lists data and supports query syntax like 'orders_count:>5', which is useful, but it doesn't mention pagination, ordering, response shape, or other behavioral details.

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

Conciseness5/5

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

One sentence, front-loaded with the action and object, and the parenthetical examples earn their place by clarifying the search syntax. There is no redundant or filler content.

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 a simple list tool with two optional parameters and no output schema, the description gives enough information to invoke it correctly. It could be richer with return-format or pagination details, but those are minor for this low-complexity tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already covers both parameters, so the baseline is 3. The description adds value by clarifying that searchQuery can match name, email, phone, or structured queries like 'orders_count:>5', going beyond the schema's simpler 'email address or name' example.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with the specific verb 'List' and the resource 'customers', making the tool's purpose immediately clear. It also notes the optional filtering capability, distinguishing this customer-listing tool from sibling order- and product-related tools.

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?

The description clearly establishes when to use the tool: when you need to list or search customers. It doesn't explicitly name alternatives or exclusions, but the context is clear enough given that no similar customer-listing sibling exists.

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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