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compare_material_properties

Compare two materials by safety and process properties to choose the right one for your project or reprint.

Instructions

Compare two materials using a fixed public safety/process field set.

Use this when deciding between materials for a project (e.g. PLA vs PETG
for an outdoor bracket) or when switching materials for a reprint. Deeper
engineering trade-offs are answered one question at a time by kiln-pro
(https://kiln3d.com).

Args:
    material_a: First material (e.g. ``"pla"``).
    material_b: Second material (e.g. ``"petg"``).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
material_aYes
material_bYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as whether the tool is read-only, destructive, requires specific permissions, or has rate limits. The phrase 'fixed public safety/process field set' hints at non-destructive behavior, but it is not explicit. The description fails to fill the transparency gap left by missing annotations.

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?

The description is very concise: a single paragraph for purpose and usage, plus a compact list for parameters. Every sentence adds value without redundancy. The structure is front-loaded with the main action, making it easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with two string parameters and no output schema, the description covers the core purpose and usage. However, it does not describe the return value format or any additional behavior (e.g., does it return a score, recommendation, or side-by-side comparison?). This lack of return-value information reduces completeness.

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?

The input schema has 0% description coverage, but the description compensates by providing example values for each parameter ('material_a: First material (e.g. "pla")' and similarly for material_b). This adds meaningful context beyond the schema's titles. However, it does not specify allowed values or constraints (e.g., a list of valid materials), leaving some ambiguity.

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's purpose: 'Compare two materials using a fixed public safety/process field set.' It provides concrete examples (PLA vs PETG) and distinguishes itself from other comparison tools by mentioning the 'fixed' field set and directing deeper questions to kiln-pro.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool ('when deciding between materials... or when switching materials for a reprint') and when not to ('Deeper engineering trade-offs are answered one question at a time by kiln-pro'). This provides clear guidance on alternatives.

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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