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LaplaceYoung

ansys-aedt-mcp

by LaplaceYoung

aedt_solve_in_batch

Initiate batch solve for active design or specified setup in Ansys AEDT. Configure cores, tasks, machine, and mesh options for automated simulation.

Instructions

Launch PyAEDT batch solve for the active design or a named setup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_nameNo
machineNolocalhost
run_in_threadNo
coresNo
tasksNo
setupNo
revert_to_initial_meshNo

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. The description does not disclose behavioral traits such as whether the operation is blocking, side effects, or permissions required. 'Launch' implies starting a process but no details.

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

Conciseness4/5

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

The description is a single concise sentence, front-loading the key action. However, it could be expanded with essential details without losing conciseness.

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 7 parameters, no annotations, and an output schema, the description is too minimal. It lacks context on batch behavior, output, and parameter interactions.

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 does not explain any parameters or their meanings. The agent must infer from parameter names alone, which is insufficient for correct use.

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 the action ('Launch PyAEDT batch solve') and the resource ('active design or a named setup'). However, it does not explicitly distinguish from similar sibling tools like aedt_analyze or aedt_batch_call.

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, prerequisites, or conditions. The single sentence lacks any contextual usage advice.

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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