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ByteBunny-io

nanocart-mcp

by ByteBunny-io

list_products

Read-only

Retrieve every product in your store, including drafts and archived items. Filter by status or search by name or slug.

Instructions

List ALL products including drafts and archived. Optionally filter by status or search by name/slug substring (filtering happens client-side).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoCase-insensitive substring match on name or slug
statusNo
Behavior4/5

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

Beyond the readOnlyHint annotation, the description adds valuable behavioral context: it includes drafts and archived items, and warns that filtering is client-side. This helps set expectations about the result set and potential performance implications.

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 concise sentences, front-loaded with the main action and scope, with no wasted words. The client-side filtering note earns its place as a crucial behavioral detail.

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?

For a simple list tool with no output schema, the description covers the essential points: full product scope, optional filters, and client-side filtering behavior. It does not mention pagination or sorting, but these are not critical for a basic list operation.

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?

With schema coverage at 50%, the description compensates by explaining both parameters (status and search) and adding the important detail that filtering happens client-side. It clarifies optionality and behavior, though the schema already describes the search substring matching.

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?

The description clearly states 'List ALL products including drafts and archived,' providing a specific verb, resource, and scope. It distinguishes itself from sibling tools like list_categories or list_orders by explicitly covering all product states and optional filtering.

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?

The description explains optional filtering by status or search, and notes that filtering happens client-side, which conveys when to use this tool. It does not explicitly name alternatives or when not to use it, but the context is clear enough for a list operation.

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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