list_categories
Retrieve all store categories via the public NanoCart API to manage product organization and store navigation.
Instructions
List the store’s categories (via the public API).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all store categories via the public NanoCart API to manage product organization and store navigation.
List the store’s categories (via the public API).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, and the description's 'List' aligns with that. It adds the context 'via the public API', which hints at public accessibility, but does not disclose pagination, return format, or any other behavioral traits beyond the annotation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence with no redundancy. It gets straight to the point and is easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter, read-only list tool, the description is sufficiently complete. It states what is listed and via which interface, though it could arguably mention pagination or response details, but the absence is not critical given the simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With zero parameters and 100% schema coverage, the description has no need to explain parameters. The baseline of 4 applies as no parameter information is required.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the verb 'List' and resource 'categories', making the purpose unambiguous. It also distinguishes from siblings like create_category and update_category by focusing on listing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when category listing is needed, but offers no explicit guidance on when to choose this over alternatives or any exclusions. The 'via the public API' hint provides some context but is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ByteBunny-io/nanocart-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server