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Store Starter Tools for Shopify

generate_store_names

Generate brandable online store name ideas from 1-5 keywords and a style. Names are NOT checked for domain or trademark availability; tell the user to check.

Input Schema

NameRequiredDescriptionDefault
seedNoChange to get a different shuffle
countNo
styleNoNaming style (default modern)
keywordsYesKeywords describing the products or brand feel

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With zero annotations the description carries the full burden and it does disclose the most consequential trait: results are not validated for domain or trademark availability, and the agent is told to communicate that. It stops short of stating the tool is side-effect-free/read-only and that output is deterministic given the same seed, leaving some behavioral inference to the schema.

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 short sentences, capability first, caveat second — zero filler and nothing structurally misplaced.

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

Completeness3/5

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

Four parameters, no annotations, and no output schema, so the description bears more weight than it carries. It never indicates the shape of the result (list size, default count, whether names are single words or multi-word), nor that the same seed yields the same set, which matters for a 4-param generation tool.

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

Parameters3/5

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

Schema description coverage is 75%, so the schema already explains keywords, style, and seed. The description only reinforces the keyword count (1-5) and mentions style; it says nothing about the count parameter, so it adds little beyond the schema baseline of 3.

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?

States a specific verb and resource ("Generate brandable online store name ideas") plus the input shape (1-5 keywords and a style), so an agent knows exactly what comes back conceptually. No sibling tool (calculate_profit, find_niches, get_launch_checklist) overlaps with name generation, so differentiation is unambiguous.

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

Usage Guidelines3/5

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

There is a downstream instruction ("tell the user to check" domain/trademark status), which is useful but is about handling results, not about when to select this tool. No explicit when-to-use or when-not guidance is given, though the sibling set makes the choice obvious by elimination.

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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