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COMSOL MCP Server

COMSOL MCP Server

by Zhangyoupeng1996
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

physics_add

Add a physics interface to a COMSOL model by specifying physics type such as Electrostatics, SolidMechanics, or HeatTransfer.

Instructions

Add a physics interface to the model.

Common physics types:

  • "Electrostatics" or "es": Electrostatic field analysis

  • "ElectricCurrents" or "ec": Electric current conduction

  • "SolidMechanics" or "solid": Structural stress analysis

  • "HeatTransfer" or "ht": Heat transfer in solids

  • "LaminarFlow" or "spf": Fluid dynamics

Args: physics_type: Type identifier (e.g., "Electrostatics", "es") component_name: Component to add physics to (default: first component) model_name: Model name (default: current model)

Returns: Created physics interface info

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": {
      "physics_type": "<physics_type>"
    },
    "name": "physics_add"
  }
}

Input Schema

NameRequiredDescriptionDefault
physics_typeYes
component_nameNo
model_nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose that adding physics modifies the model, whether a model must be loaded, or any side effects. For a mutation tool, this is insufficient.

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?

Well-organized with header, common types list, and parameter descriptions. The list of types is helpful but slightly verbose; otherwise efficient.

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?

Adequately covers the main purpose and parameters, but lacks context about model prerequisites, return value details, and mutability. For a tool with no output schema and no annotations, more context is needed.

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

Parameters4/5

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

With 0% schema coverage, the description adds meaning beyond the schema: explains physics_type with examples and defaults for component_name and model_name. However, it could be more detailed (e.g., valid values for component_name).

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?

Clearly states 'Add a physics interface to the model' and lists common physics types with examples, distinguishing it from sibling tools that add specific physics types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides common physics types and aliases but does not explicitly guide when to use this generic version versus specific sibling tools like physics_add_electrostatics. No when-not-to-use or alternatives mentioned.

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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