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LaplaceYoung

ansys-aedt-mcp

by LaplaceYoung

aedt_create_output_variable

Create output variables in PyAEDT to define custom post-processing expressions for simulation results analysis.

Instructions

Create a PyAEDT output variable for post-processing expressions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
variableYes
expressionYes
solutionNo
contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are present, so the description must fully disclose behavior. It only says 'Create' implying mutation but does not explain what happens if the variable already exists, whether it requires a design, or any side effects. Minimal behavioral disclosure.

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

Conciseness3/5

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

The description is a single short sentence, which is concise but lacks structure. It clearly states the action upfront, but the brevity results in missing important details. Adequate for a simple tool but too minimal for this one.

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 4 parameters, no annotations, and no output schema visible, the description is incomplete. It does not explain what an output variable is, how it relates to post-processing, or what the return value is (though output schema exists). Fails to provide sufficient context for an agent.

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%, meaning the parameters are unexplained. The description does not mention or explain any parameters (variable, expression, solution, context). It adds no meaning beyond the raw schema types.

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 object 'PyAEDT output variable' with a specific purpose 'for post-processing expressions.' It is distinct from sibling tools like aedt_get_output_variable (retrieve) and aedt_set_variable (set).

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 vs alternatives. There is no mention of prerequisites, context (e.g., design must be active), or exclusions. The description only states what it does, not when or when not to use it.

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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