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genart-dev

genart-mcp

by genart-dev

design_generate_construction_exercise

Generate a random form-construction exercise at beginner, intermediate, or advanced difficulty, with optional value overlays and intersection lines for drawing practice.

Instructions

Generate a random construction exercise with forms at varying difficulty.

Input Schema

NameRequiredDescriptionDefault
seedNoRandom seed for reproducibility.
formCountNoNumber of forms (overrides difficulty default).
difficultyNoExercise difficulty. Default: beginner.
includeValuesNoInclude a value study overlay. Default: false.
includeIntersectionsNoInclude intersection lines. Default: false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden but says nothing about side effects: whether it mutates the current sketch, creates a new sketch, or returns data only. There is no disclosure of how the result is delivered or whether prior content is affected.

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?

A single efficient sentence with the core action and scope front-loaded and no filler. It is perhaps over-terse for a generator with five options, but there is no wasted text.

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

Completeness3/5

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

With a fully documented schema but no annotations and no output schema, the description covers the 'what' adequately yet omits what the generated exercise actually becomes (which sketch/document it lands in) and what the caller receives. That is a meaningful gap for a mutation-style generator, but the rich schema softens it.

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?

Schema coverage is 100% and all five parameters are individually documented (seed, formCount, difficulty defaults, includeValues, includeIntersections). The description adds nothing beyond the schema's own fields, so the baseline of 3 applies.

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 has a specific verb ('Generate') and resource ('construction exercise with forms') plus scope modifiers (random, varying difficulty). This separates it well from siblings like design_add_construction_form (adds one form) or design_add_construction_scene, though it doesn't name those siblings explicitly.

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?

Usage is only implied: 'random ... at varying difficulty' suggests practice/drilling, but there is no explicit when-to-use, no when-not-to-use, and no pointer to alternatives such as design_create_practice_session or design_add_construction_form. The agent must infer the routing decision.

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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