Skip to main content
Glama
Degree-AS
by Degree-AS

dw_product_field_list

List product fields for a category, returning system name, name, type, and required status.

Instructions

List all product fields belonging to a category. Returns systemName, name, typeId, typeName, required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryIdYesCategory id, e.g. 'TechSpecs'
Behavior4/5

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

Without annotations, the description carries full burden. It clearly indicates a read-only list operation and specifies what data is returned. However, it does not mention pagination, sorting, or any limits, which is acceptable for a simple list tool.

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 sentences: first states the purpose, second lists return fields. No filler, highly efficient. Front-loaded with the action and target resource.

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 tool with one parameter and no output schema, the description covers the essentials: what it does, what it returns, and the input. Lacks details on pagination or error conditions, but adequate 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 coverage is 100% with a single parameter described as 'Category id, e.g. 'TechSpecs''. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 the tool lists all product fields for a category, and specifies the exact return fields: systemName, name, typeId, typeName, required. This distinguishes it from siblings like dw_field_list (likely for content fields) and dw_product_field_delete.

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 implies usage for retrieving product field definitions by category, but does not explicitly state when to use it versus alternatives like dw_field_list or dw_product_field_type_list. No context on prerequisites or exclusions.

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/Degree-AS/degree-dynamicweb-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server