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Smartrr MCP by usefulapi

List customers

smartrr_list_customers
Read-only

List Smartrr customers (subscribers) with email, name, phone, order count, total spent and custom attributes. Search by email fragment or filter by Shopify customer id. GET /vendor/customer-relationship.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
sortNoSort by creation date (default: Smartrr's own order).
emailNoCustomers whose email contains this text.
page_sizeNoResults per page, 1-100 (default 25).
shopify_customer_idNoOnly the customer with this Shopify customer id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds value beyond them by naming the exact payload fields (email, name, phone, order count, total spent, custom attributes) and the underlying endpoint, though it says nothing about rate limits or pagination behavior.

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?

Three short sentences, front-loaded with the resource and its returned fields, with no filler. The trailing 'GET /vendor/customer-relationship' is marginal but small and occasionally useful for debugging.

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?

With no output schema, the field enumeration compensates well by telling the agent what comes back, and pagination/sorting are fully covered by the schema. Only cross-tool routing guidance is missing, which is minor for a straightforward list endpoint.

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% and every parameter (page, sort, email, page_size, shopify_customer_id) is documented inline with defaults and bounds. The description only restates the email-fragment and Shopify-id filters, so it adds no semantics the schema lacks; baseline 3 applies.

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?

States a specific verb and resource ('List Smartrr customers (subscribers)') and enumerates the fields returned, which is concrete and unambiguous. It does not explicitly contrast with siblings like smartrr_list_customer_subscriptions or smartrr_list_orders, so an agent must still infer which list tool fits.

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?

The description says how to search ('email fragment or filter by Shopify customer id'), which implies the calling context, but it never states when to prefer this tool over the sibling list/subscription tools or what it does not cover. Usage is implied rather than prescribed.

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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