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3D Printer on Demand

List print materials

list_materials
Read-only

Use this when someone asks which plastics 3D Printer on Demand prints, which colors each comes in, which material suits a job, or which materials are quoted by a person. It returns each material with what it is for, what it is not advised for, its colors and how it is quoted, plus plain guidance on comparing them. It returns no engineering figures.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
guidanceYes
materialsYes
review_urlYes
materials_urlYes
strength_noteYes
heat_rank_noteYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive, closed-world), so the bar is lower. The description adds real value by describing the return contents and, notably, the negative scope 'returns no engineering figures', which sets agent expectations. It stops short of detailing any limits or freshness behavior.

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, front-loaded with the trigger conditions and followed by the return summary. Both sentences carry distinct, non-redundant information and the negative scope note earns its place.

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?

An output schema exists so return values need not be enumerated, yet the description helpfully summarizes them anyway, and a 0-param list tool requires little else. The one gap is the unstated boundary against recommend_material, which is a relevant sibling.

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 nothing to document and the baseline is 4. The description correctly does not invent parameter semantics, and the empty schema means no compensation was ever needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (list) and resource (print materials/plastics) with concrete detail about what each entry contains (purpose, colors, quoting). It is clear, but the trigger 'which material suits a job' overlaps with the sibling recommend_material, and the description never names that sibling to disambiguate.

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 four explicit trigger scenarios (which plastics, which colors, which suits a job, which are human-quoted), which is strong when-to-use guidance. However it offers no when-not guidance and does not explicitly route to recommend_material when a recommendation rather than a list is wanted.

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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