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pzfreo

build123d-mcp

install_skill

Install a build123d workflow skill into your project to enable step-by-step guidance for drawing, modeling, editing, or repairing 3D CAD models.

Instructions

Copy a b123d workflow skill into the current project.

Writes the appropriate config file for the requested agent so the
step-by-step workflow is available in future sessions.

skill: which workflow to install (default "drawing")
  - drawing   → multi-view engineering drawings from build123d geometry
  - modeling  → build 3D parts/assemblies (incl. from technical drawings)
  - edit      → modify existing build123d code and verify geometry deltas
  - repair    → repair a solid that fails the validity gate
target: one of "claude" (default), "agents-md", "cursor", "windsurf"
  - claude     → .claude/skills/<skill-dir>/SKILL.md  (Claude Code)
  - agents-md  → AGENTS.md  (Codex CLI, Antigravity, GitHub Copilot, Cline)
  - cursor     → .cursor/rules/<skill-dir>.mdc
  - windsurf   → .windsurfrules
force: overwrite existing installation (default False)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forceNo
skillNodrawing
targetNoclaude

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations indicate the tool is not read-only and not destructive. The description adds context that it writes config files, overwrites if force=True, and lists the effects for each skill-target combination. No contradiction with annotations.

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 well-structured with a clear general statement, followed by bullet-like lists for skill and target parameters. Every sentence adds value, no redundancy.

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

Completeness5/5

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

The description covers all necessary aspects: what the tool does, parameter details with examples, and behavioral context (defaults, overwrite). With an output schema present, return values need not be explained.

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

Parameters5/5

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

The input schema has 0% description coverage, but the description fully explains each parameter: skill options with their meanings, target options with file paths, and force behavior. This compensates completely for the missing schema descriptions.

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?

The description clearly states the tool copies a workflow skill into the current project and writes config files, with specific skill types and targets listed. This distinguishes it from sibling tools like workflow_hints, validate, or analyze tools.

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

Usage Guidelines4/5

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

The description explains when to use the tool (to install specific workflow skills for different agent targets) and provides defaults, but does not explicitly state when not to use it or mention alternative tools.

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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