get_equipment_classes
List equipment classes (FDM printers, CNC mills, etc.) with market snapshot data including utilization, demand, and pricing.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List equipment classes (FDM printers, CNC mills, etc.) with market snapshot data including utilization, demand, and pricing.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds useful content about what the snapshot contains (utilization, demand, pricing), but says nothing about return shape, pagination, or freshness of the market data. Adequate but not rich.
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?
A single front-loaded sentence that names the resource first and the payload second, with zero filler.
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 zero-param read tool with annotations covering safety and no output schema, the description conveys enough to call it correctly. The only missing piece is any hint about result size or data freshness, which is minor here.
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?
Zero parameters, so there is no schema semantics to compensate for; baseline is 4. The description correctly implies an unfiltered full listing, though it is silent on whether the result set can be scoped.
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?
States a specific verb (List) and resource (equipment classes) with concrete examples (FDM printers, CNC mills) and names the data payload (utilization, demand, pricing). An agent knows what it gets, though the description doesn't distinguish this from near-neighbors like marketplace_categories or pcc_capture_class_registry.
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?
No when-to-use guidance, no prerequisites, and no alternatives named among the many sibling list_/get_ tools. An agent must infer the call context entirely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.