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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_markets_home

Retrieve markets home data and analytics to evaluate performance across international markets. Use this tool to access key metrics and insights for informed business decisions.

Instructions

Fetch markets home data and analytics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

Does 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. It only says 'Fetch', which suggests a read operation, but does not describe what data is returned, whether it aggregates data, or any side effects. This is insufficient for a tool with no other behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, front-loaded with the verb. It contains no wasted words, but the phrase 'home data and analytics' is somewhat repetitious. Overall, it is appropriately short for a tool with no parameters.

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

Completeness2/5

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

The description is incomplete because it fails to explain what 'markets home data' actually includes or what 'analytics' refers to. Even for a simple no-parameter tool, the agent needs to know the return value's scope and purpose to select and invoke it correctly. The lack of output schema and annotations makes this gap more severe.

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 input schema is trivially complete. There are no parameter semantics to describe, and the description correctly avoids inventing parameter details. Baseline of 4 is appropriate for a no-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Fetch' and identifies a resource ('markets home data and analytics'), but the resource is vague and undefined. It does not clearly distinguish itself from sibling tools like get_markets or get_market, as 'home data' is ambiguous.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. It does not mention related tools such as get_markets, get_market, or get_analytics_report, nor does it provide any context or exclusions. The agent must guess the intended use case.

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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