Skip to main content
Glama

Churn Risk

customers_churn
Read-onlyIdempotent

Identify customers at risk of churning using RFM recency and frequency signals. Get lists of at-risk, hibernating, and lost customers with win-back recommendations to target re-engagement campaigns.

Instructions

Identify customers at risk of churning based on RFM recency + frequency signals. Returns an object with at_risk, hibernating, and lost arrays — each contains customer id, name, email, last_order_date, days_since_last_order, total_spent, total_orders, and a win_back_recommendation string. Use this for targeted re-engagement campaigns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idYesUUID of a connected store (returned by store_connect with action="connect" or visible in store_connect with action="list" / the store_overview resource)
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description does not contradict and adds no extra behavioral context beyond what annotations provide. Baseline score acceptable.

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?

Two sentences, front-loaded with purpose, efficient. Slightly more detail could be trimmed but overall well-structured.

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

Completeness4/5

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

No output schema, but description fully details return structure (arrays with fields). Parameter is simple. Complete for the tool's complexity.

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 100% with detailed store_id description. Description does not add additional parameter meaning beyond the schema. Baseline score.

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?

Clearly states 'Identify customers at risk of churning based on RFM recency + frequency signals' and details the return structure. Distinguishes from sibling customers_segment.

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?

Explicitly suggests use for 'targeted re-engagement campaigns'. No explicit when-not-to-use or alternative tools, but context is clear given siblings.

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