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create_class

Define a new class for actors by setting its name, base parameters, experience curve, skill learnings, and traits.

Instructions

Create a new class with the specified properties. Classes define skill learning, parameters, and traits for actors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesClass name
paramsNoBase parameters [mhp, mmp, atk, def, mat, mdf, agi, luk]
expParamsNoEXP curve [base, inflation, correction, max level]
learningsNoArray of {level, skillId} learning entries
traitsNoArray of trait objects {code, dataId, value}
noteNoNote field
Behavior2/5

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

No annotations are provided, so the description is the sole source of behavioral information. It states the tool 'creates,' implying a write operation, but fails to disclose side effects like overwriting existing classes, required permissions, or error scenarios (e.g., duplicate name).

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 brief and front-loaded with the primary action. Every sentence serves a purpose: the first states the function, the second provides context. No unnecessary words.

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

Completeness2/5

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

Given the tool has 6 parameters and no output schema, the description should cover return values, error conditions, and usage context. It only vaguely describes the resource, leaving significant gaps for an AI agent to correctly invoke the tool.

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?

The input schema provides 100% coverage of parameter descriptions, so the baseline is 3. The description does not add semantic value beyond the schema, merely restating that parameters include base parameters, EXP curve, etc.

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 action ('Create') and the resource ('a new class'), and explains that classes define skill learning, parameters, and traits for actors. This distinguishes it from sibling tools that create other entities like skills or items.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, such as when to update an existing class instead. Context signals show many sibling create tools, but no exclusions or conditions are mentioned.

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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