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COMSOL MCP Server

COMSOL MCP Server

by Zhangyoupeng1996
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

model_remove

Removes a specified model from memory to free resources. Provide the model name for removal.

Instructions

Remove a model from memory.

Args: model_name: Name of the model to remove

Returns: Confirmation or error message

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": {
      "model_name": "<model_name>"
    },
    "name": "model_remove"
  }
}

Input Schema

NameRequiredDescriptionDefault
model_nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations provided, so description should disclose behavioral traits. It only says 'remove from memory' but does not specify side effects, whether unsaved data is lost, or if removal is reversible.

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?

Description is short and front-loaded with purpose. However, the Args/Returns section is boilerplate and could be more informative. It earns its place but lacks depth.

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 no output schema and no annotations, the description is too minimal. It does not explain return values, error conditions, or prerequisites for successful removal.

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

Parameters2/5

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

Schema coverage is 0%, so description must compensate. It adds a single line for model_name ('Name of the model to remove'), which adds little beyond the schema title. No details on format, lookup, or constraints.

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?

Description clearly states the action: remove a model from memory. It distinguishes from sibling tools like model_create, model_load, etc., which have different purposes.

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 or prerequisites. The description does not mention when removal is appropriate, e.g., after saving or when model is no longer needed.

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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