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insanitii_place_day1_set_dressing

Places Day 1 prototype set dressing in Unreal Engine using small Python chunks, enabling quick level dressing for early prototyping.

Instructions

Place readable Day 1 prototype set dressing in small UE Python chunks.

KB: see knowledge_base/10_WORLD_BUILDING.md#overview Example: insanitii_place_day1_set_dressing()

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
load_levelNo
save_levelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.3/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits itself. It only says 'in small UE Python chunks', which hints at execution but does not explain side effects, whether it modifies the level, how load_level/save_level parameters affect behavior, or what output to expect. The example call is terse and offers no behavioral details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief—only two sentences plus an example—but this brevity is under-specification rather than efficient conciseness. It lacks structure, no headings, no parameter explanations, and the KB reference is a vague pointer. The example is helpful but minimal. It does not earn its place because it omits essential information.

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

Completeness1/5

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

For a tool that places set dressing in UE, the description is severely incomplete. It does not explain what 'readable set dressing' means, what 'small UE Python chunks' entails, how the parameters affect operation, or what the output schema contains. The KB link might provide more, but it is not inline and the description itself is insufficient for an agent to call this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, so the description must compensate for the two boolean parameters (load_level, save_level). The description does not mention these parameters at all, leaving their meaning and impact completely undocumented. This is a critical gap given the parameters likely control level loading and saving behavior.

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?

The description states a clear verb ('Place') and resource ('readable Day 1 prototype set dressing') with a specific scope ('small UE Python chunks'). It is distinguishable from sibling tools like the many insanitii_* reporting tools, as this one is an action. However, it does not explicitly contrast with other placement tools or mention its unique role among the insanitii_* family.

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?

The description gives no explicit guidance on when to use this tool versus alternatives. It mentions 'Day 1 prototype' and provides an example call, but does not state prerequisites, when to prefer it over other set dressing tools, or any exclusions. The KB reference is a pointer but not direct usage guidance.

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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