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mcp-openems

mcp-openems

by RFingAdam
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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openems_generate_script

Generate a runnable OpenEMS Python script for a specific design, enabling independent full-wave FDTD simulation.

Instructions

Generate a complete OpenEMS Python simulation script for a design. The script can be run independently.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "design_id": "<design_id>"
    },
    "name": "openems_generate_script"
  }
}

Input Schema

NameRequiredDescriptionDefault
design_idYesID of the design to generate script for

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the script is complete and can run independently, but it does not disclose whether the operation has side effects (e.g., writing files), what happens if the design_id is invalid, or the exact return format. This lack of behavioral context is a notable gap.

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 two sentences, front-loaded with the main purpose, and wastes no words. It conveys the essential information efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is relatively simple with one parameter and no output schema, so the description is minimally adequate. It tells the agent a script will be generated and is independently runnable, but it does not explain how the script relates to the design or what the output contains, especially considering the absence of annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single parameter 'design_id', which is clearly described as 'ID of the design to generate script for'. The tool description adds no additional meaning beyond the schema, so the baseline score of 3 is appropriate.

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 tool generates a complete OpenEMS Python simulation script for a design, with the script being runnable independently. However, it does not differentiate from sibling tools such as openems_export_design or openems_get_design, which may also produce script-like or design-related outputs.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any conditions, prerequisites, or scenarios where this tool is preferred over sibling tools like openems_export_design or openems_compare_designs.

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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