Get Shopify store information to access shop configuration, domain, and account details for administrative use.
Get shop information.
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "shopify_get_shop"
}
}| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does 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. 'Get shop information' only implies a read operation and gives no information about authentication requirements, side effects, rate limits, or response behavior. It adds little beyond what the tool name already communicates.
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, front-loaded sentence with no wasted words. It fully accomplishes its limited job for a zero-parameter tool without unnecessary elaboration.
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 read tool, 'Get shop information' is minimally adequate, but the absence of an output schema and annotations leaves gaps. There is no description of what data fields are returned or any behavioral caveats, so the definition is serviceable but not fully complete for an agent that may need to interpret the result.
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, so there is nothing for the description to explain about parameter semantics. The baseline for zero-parameter tools is 4, and the description does not need to compensate for undocumented parameters.
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 states a specific verb and resource: 'Get shop information.' This clearly identifies the target of the tool and distinguishes it from sibling tools that operate on products, orders, customers, or collections. It is not a tautology because it adds 'shop information' as the object of the get operation.
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?
The description implies usage context: use this tool when you need information about the shop itself rather than products, orders, or customers. However, it provides no explicit guidance on when to prefer this tool over alternatives or any conditions/exclusions, leaving the usage context implicit rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.