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ttiimmaacc

mcp-for-clo3d

by ttiimmaacc

set_simulation_quality

Adjust simulation quality preset for CLO3D projects, choosing between normal, animation, fitting, or fast GPU modes to balance accuracy and speed.

Instructions

Set the simulation preset: 0 Normal, 1 Animation (stable), 2 Fitting (accurate), 3 FAST (GPU).

Args: quality: Preset index. simulation_mode: 0 CPU, 1 GPU (defaults to GPU for preset 3, CPU otherwise).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qualityYes
simulation_modeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose meaningful behavior, such as the preset meanings and the conditional default for simulation_mode ('defaults to GPU for preset 3, CPU otherwise'). However, it does not describe side effects, persistence, or what happens after setting the quality, leaving some behavioral ambiguity.

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 compact and front-loaded: the first line states the operation and all preset values. The Args section is terse and each line provides necessary semantic enrichment. There is no filler or redundant content.

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?

For a simple setter with two parameters and no output schema, the description covers the essential invocation details: all parameter meanings, valid preset indices, and the conditional default. It does not mention interaction with the 'simulate' tool, but that is arguably outside the core scope of this setter and does not prevent correct invocation.

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?

Schema description coverage is 0%, so the description must compensate, and it does. It explains 'quality' as a preset index and maps each index to a concrete meaning. It also clarifies 'simulation_mode' values and the subtle default behavior, which is beyond what the bare schema with 'default: null' provides.

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 clearly states a specific verb and resource: 'Set the simulation preset'. It enumerates the preset indices and their meanings, which clarifies exactly what is being set. However, it does not explicitly contrast itself with the sibling tool 'simulate', so differentiation is implied rather than stated.

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?

There is no guidance about when to use this tool versus alternatives such as 'simulate'. The contextual relationship to simulation is implied by the word 'simulation', but the description does not mention prerequisites, sequencing, or exclusions.

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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