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flin-agency

flin-shopify-analytics-mcp

by flin-agency

shopify_repeat_purchase_windows

Calculate repeat purchase rates for fixed 30, 60, 90, and 180-day windows to analyze customer retention and purchase behavior over defined periods.

Instructions

Repeat purchase rates for fixed 30/60/90/180-day windows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateFromYes
dateToYes
asOfDateNo
limitNo
Behavior2/5

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

With no annotations, the description carries full burden. It only states the high-level purpose without disclosing behavioral traits such as how rates are calculated, required permissions, or edge cases. This is a significant gap.

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, efficient sentence with no wasted words. However, the brevity contributes to incompleteness in other dimensions.

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?

Given the complexity (4 parameters, no output schema, no annotations) and many sibling tools, the description is too sparse. It does not explain output structure, window semantics, or how the tool differs from related tools.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description adds no semantic information about parameters like dateFrom, dateTo, asOfDate, or limit. The agent must infer meaning solely from property names and constraints.

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 clearly states the tool computes repeat purchase rates for fixed 30/60/90/180-day windows. It identifies the specific verb and resource, but does not explicitly differentiate from sibling tools like shopify_time_to_second_order.

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?

No guidance on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or exclusion criteria, leaving the agent without decision support.

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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