Skip to main content
Glama

Seed Demo Store

store_demo_seed

Create a realistic demo store populated with 20 products, 40 customers, and 150+ orders spanning 6 months to explore ShopOps without real credentials. Each call returns a unique store ID for meaningful output across tools.

Instructions

Create a realistic demo store populated with 20 products, 40 customers across 6 archetype buckets (champions, loyal, new, at-risk, hibernating, one-off), and 150+ orders spanning the last 6 months. Use this to explore ShopOps without real Shopify or WooCommerce credentials — every tool (inventory_status, customers_segment, order_anomalies, report_weekly, etc.) will return meaningful output on the returned store_id. Safe to call multiple times; each call creates a new demo store with a unique ID. Returns the store_id plus product/customer/order counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate non-destructive, non-read-only, and non-idempotent. Description adds rich detail on what is created (20 products, 40 customers across 6 archetype buckets, 150+ orders) and that each call creates a new unique ID, but does not disclose any potential limits or side effects beyond creation.

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?

Description is concise, front-loaded with the main purpose, and structured logically from creation details to usage notes. Every sentence adds value.

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?

Given no parameters and no output schema, the description is fully complete: it explains what the tool does, why to use it, what it returns (store_id plus counts), and how it fits with sibling tools.

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?

No parameters exist; schema coverage is 100%. With zero parameters, baseline is 4, and the description appropriately provides no additional parameter info.

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?

Description clearly states it creates a realistic demo store with specific counts of products, customers, and orders, and explicitly distinguishes from sibling tools like store_connect by noting it works without real credentials.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use (explore ShopOps without real credentials) and that it's safe to call multiple times, with each call producing a new unique store. Mentions that other tools will work on the returned store_id.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/enzoemir1/shopops-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server