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SolidworksMCP-python

SolidworksMCP-python

by andrewbartels1
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

create_drawing_view

Create technical drawing views from SolidWorks 3D models, including orthographic, isometric, section, and detail views for production drawings and documentation.

Instructions

Create a drawing view of a SolidWorks model.

Creates technical drawing views including orthographic projections, isometric views, section views, and detail views from 3D models. Essential for generating production drawings and technical documentation.

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": {
      "input_data": "<input_data>"
    },
    "name": "create_drawing_view"
  }
}

Input Schema

NameRequiredDescriptionDefault
input_dataYesThe input data value.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

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 full burden for behavioral disclosure. It only states what the tool does ('creates') but does not mention prerequisites (e.g., an open drawing), side effects, permissions, or error conditions.

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 concise with two sentences, front-loading the main action. It could be slightly more structured but avoids unnecessary verbosity.

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?

While an output schema exists (not shown), the description lacks information about prerequisites (e.g., a drawing document must be active), orientation specifics beyond the parameter list, and potential issues like view placement overlaps. This leaves gaps for a tool with many parameters and nested objects.

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?

The input schema covers all parameters with descriptions (100% coverage). The description adds value by enumerating view types, which aligns with the view_type parameter, but does not provide additional semantic context beyond what the schema already offers.

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 it creates drawing views and lists types like orthographic, isometric, section, and detail. This distinguishes it from general modeling tools, but it does not explicitly differentiate from specialized siblings like create_section_view or create_detail_view.

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?

The description implies usage for generating production drawings, but it does not specify when not to use it or explicitly mention alternative tools. Given many sibling tools for specific view types, this omission reduces clarity.

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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