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LaplaceYoung

ansys-aedt-mcp

by LaplaceYoung

aedt_get_solution_data

Retrieve simulation solution data from an active AEDT design by specifying expressions, setup name, and variations.

Instructions

Get solution data from the active AEDT design.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expressionsYes
setup_nameNo
variationsNo
kwargsNo

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 disclose behavioral traits. It implies a read operation ('Get'), but does not state side effects, prerequisites (e.g., required solved design), or what happens if data is unavailable.

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 succinct sentence, front-loading the purpose. However, it sacrifices necessary detail 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?

Given the tool has 4 parameters, no parameter descriptions, and an output schema that is not referenced, the description lacks completeness. It does not explain what 'solution data' entails or the format/type of the returned data.

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%, yet the tool description provides no explanation for the four parameters (expressions, setup_name, variations, kwargs). Parameter names offer hints but are insufficient for correct usage without additional context.

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 ('Get solution data') and scope ('from the active AEDT design'). However, it does not differentiate from sibling tools like aedt_get_touchstone_data or aedt_get_monitor_data, which also retrieve specific types of data.

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 versus alternatives, nor any prerequisites or exclusions. The agent is left to infer usage from the name alone.

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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