get_customer_count
Count the total number of customers in a Shopify store. Use this customer count to track growth and evaluate your store's reach.
Instructions
Counts customers in the shop
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Count the total number of customers in a Shopify store. Use this customer count to track growth and evaluate your store's reach.
Counts customers in the shop
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden but only states the counting action without disclosing side effects, read-only nature, or performance characteristics. It does not explicitly confirm that this is a safe read operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, focused sentence with no extraneous information, effectively front-loading the purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter count tool, the description is nearly complete, but it does not explicitly state the return format (e.g., an integer). However, the tool name 'get_customer_count' makes the return value obvious, so the gap is minimal.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the schema coverage is 100% (vacuously). The description doesn't need to add parameter details, and none are missing.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Counts customers in the shop' with a specific verb ('counts') and resource ('customers in the shop'), distinguishing it from sibling tools like list_customers or get_order_count. It's unambiguous about its function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 compared to alternatives like list_customers or get_customer. The description simply states the action without explaining 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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/elsi06/shopify-mcp-manager'
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