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generate_technical_drawing

Create dimensioned production drawings from 3D models for manufacturing, team review, and print preparation.

Instructions

Generate a dimensioned production drawing from a 3D model.

Business adds team review, approval gates, and 3 printers (grow to 50). Requires Kiln Business. Upgrade: https://kiln3d.com/pricing?src=agent&tool=generate_technical_drawing

Input Schema

NameRequiredDescriptionDefault
titleNoDefault: "".
formatsNo
materialNoDefault: "".
standardNoDefault: "house_style".
design_idNoDefault: "".
scad_paramsNo
source_pathNoDefault: "".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and mostly doesn't: it never says whether the drawing is persisted/returned, what artifact is produced, whether the call is expensive, or what happens on insufficient tier. It does disclose a Business-tier requirement, which is genuinely useful failure context, and the 'team review, approval gates, 3 printers (grow to 50)' fragment is opaque and unexplained rather than informative.

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

Conciseness2/5

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

The lead sentence is efficient and front-loaded, but three of the four lines are marketing copy and an upgrade URL that carry no invocation value. The '3 printers (grow to 50)' line is cryptic filler that dilutes the one useful sentence.

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?

For a 7-parameter, nested-object tool with no annotations and no output schema, the description omits the return shape entirely (a file? a drawing record? an ID to pass to list_technical_drawings?) and says nothing about the mutually exclusive-looking input sources. Only the tier prerequisite partially fills the gap.

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?

Seven parameters with zero required, and the schema descriptions are near-vacuous ('Default: "".'), so the description had to compensate and adds nothing about formats, standard, material, design_id, source_path, or the nested scad_params object. An agent gets no idea which combination of design_id vs source_path is needed or what formats accepts.

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 first sentence gives a specific verb and resource (generate a dimensioned production drawing) plus the input (a 3D model), which clearly distinguishes it from siblings like list_technical_drawings or assess_drawing_manufacturability. It never names those siblings or states the boundary explicitly, so it stops short of a 5.

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?

There is no guidance on when to call this versus alternatives such as list_technical_drawings, assess_drawing_manufacturability, or the drawing-intake tools. The only conditional information is a licensing prerequisite ('Requires Kiln Business'), which is a gate, not usage guidance — the remaining text is a pricing upsell rather than selection criteria.

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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