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Store overview

get_store_info
Read-only

Get the store overview: name, URL, currency, connected payment processors and product count. Call this first to learn the store currency before creating products or reading analytics.

Tool call template

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": "get_store_info"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

The annotations already establish that this is a read-only, non-destructive, closed-world operation, so safety is handled. The description adds useful scope information by listing the fields returned, but it says nothing about authentication needs, caching, or whether the payment-processor list can be empty, so it only modestly exceeds the annotation baseline.

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?

Two sentences, with the returned-field list first, which is the most important part, and the sequencing advice second. No filler or hedging.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description is the only documentation of what comes back, and it lists the concrete fields. That is sufficient for an agent to use the tool and decide whether it is the correct source of currency, processor, or product-count data.

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 tool has zero parameters, so the schema carries no parameter semantics and the baseline is a 4. The description correctly implies a no-argument call and puts its detail into what the call returns.

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 uses a specific verb-resource pair ("Get the store overview") and enumerates the returned fields: name, URL, currency, payment processors, and product count. It does not explicitly differentiate itself from the close sibling get_store_settings, so an agent must infer that this is the coarse summary rather than the full settings object.

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?

It gives clear positive routing advice: "Call this first to learn the store currency before creating products or reading analytics." It does not state when not to call it, nor does it name get_store_settings as the alternative when the full configuration is needed.

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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