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LaplaceYoung

ansys-aedt-mcp

by LaplaceYoung

aedt_analyze_setup

Run simulation analysis on a named setup in Ansys AEDT, with options for parallel distribution, GPU usage, and blocking control.

Instructions

Analyze a named setup with PyAEDT distribution and blocking options.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
coresNo
tasksNo
gpusNo
acf_fileNo
use_auto_settingsNo
num_variations_to_distributeNo
allowed_distribution_typesNo
revert_to_initial_meshNo
blockingNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description carries full burden. It does not disclose whether the tool is read-only, modifies state, or any side effects. Limited detail on 'distribution and blocking options'.

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 a single sentence, but it is too terse and lacks critical details, sacrificing informativeness for brevity.

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?

With 10 undocumented parameters, no annotations, and an output schema not described, the description does not provide sufficient context for correct invocation.

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?

Schema description coverage is 0% and the description only vaguely references 'distribution and blocking options', failing to explain any of the 10 parameters (e.g., cores, tasks, gpus).

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 identifies the action (analyze) and resource (named setup), and mentions distribution and blocking options. However, 'PyAEDT distribution' is jargon that may not be immediately clear to all agents.

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 on when to use this tool versus alternatives like aedt_analyze or aedt_create_setup. No context about prerequisites or typical use cases.

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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