generate_from_template

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

Describes rendering of OpenSCAD code into STL, explains tier-dependent behavior (Pro+ adds intent block and sidecar JSON), and notes local execution. No annotations present, so description carries the burden; it covers key behaviors but doesn't mention potential async nature or blocking status.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with clear sections (purpose, usage, tier info, Args). Each sentence adds value, though slightly verbose. Not overly long for the information conveyed.

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

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

Covers purpose, usage, parameters, output (STL), tier differences, and related tools. No output schema, but the description provides sufficient context for agent decision-making. Complete for a tool with 2 parameters.

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

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

Schema coverage is 0%, but the description's Args section explains template_id (required, from list_design_templates) and parameters (optional dict with example). Adds meaning beyond the schema's basic title and required field.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it generates a 3D model from a parametric template with explicit parameters, locally without AI API. Distinguishes from sibling tool smart_generate_from_template and mentions output format (STL).

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

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

Explicitly says when to use (knowing template and parameters) and when not (use smart_generate_from_template for AI-assisted inference). Directs to list_design_templates for available templates and parameters.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.