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List stores

printful_list_stores
Read-only

List the stores this token can reach (id, name, platform type). A cheap way to confirm the token works, and where to find the store_id an ACCOUNT-level token needs. Printful: GET /stores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds the token-scope constraint and the returned fields. It also names the underlying endpoint (GET /stores). Does not discuss pagination, but for a thin list endpoint this is solid added context.

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 tight sentences: the first defines scope and payload, the second gives the reason to call it. No waste, front-loaded.

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

Completeness5/5

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

For a zero-parameter read tool with readOnlyHint, the description covers purpose, scope, returned fields, and the concrete motivating use case. Nothing needed to invoke it correctly is missing.

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?

Zero parameters, so there is no schema semantics to compensate for; baseline is 4. The description still notes that the result carries the store_id downstream operations need, which is useful framing.

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 (list stores), scopes it to what the token can reach, and enumerates returned fields (id, name, platform type). Clearly distinguishable from siblings like printful_list_orders or printful_list_store_products.

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?

Gives concrete when-to-use guidance: validate that a token works, and obtain the store_id that an ACCOUNT-level token requires. Doesn't name a sibling alternative explicitly, but the intended context is unambiguous.

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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