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bcgbsh
by bcgbsh

generate_icon_set

Produce a complete icon set with multiple PNG sizes and an ICO file from a single design, using custom text, colors, shapes, and styles.

Instructions

Render a multi-resolution icon set: several PNGs + an aggregated .ico.

The largest PNG is drawn once at high resolution and downscaled with LANCZOS for every other size, so all outputs share the same design.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNo
shapeNorounded
styleNogradient
shadowNo
out_dirYes
bg_colorNo#4F8DFD
fg_colorNo#FFFFFF
base_nameNoicon
png_sizesNo
bg_color_2No#8E5BFF
font_scaleNo
include_icoNo
border_colorNo#FFFFFF
border_widthNo
corner_radiusNo
gradient_angleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations are absent, so the description carries the full burden. It discloses the rendering process (high-res draw + LANCZOS downscaling) and that all outputs share the same design, which is useful. However, it doesn't mention side effects like file creation, overwrite behavior, or error handling, which are missing.

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 short and front-loaded with the main purpose. Each sentence adds value, but lacks detail on parameters. It is concise without verbosity, though the omission of parameter guidance is a structural gap.

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?

Given 16 parameters, no output schema, and no annotations, the description is incomplete. An agent cannot correctly call this tool without understanding parameter semantics, validation rules, or how outputs are generated. The description covers only the high-level rendering process.

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?

Schema description coverage is 0%, so the description must explain the 16 parameters. It does not mention any parameters at all, leaving the agent to infer from property names like 'text', 'shape', 'style'. This is insufficient for such a large parameter set.

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 states a clear action (render) and resource (multi-resolution icon set) and specifies outputs (PNGs + .ico). It distinguishes from siblings by focusing on the multi-resolution aspect, though it doesn't explicitly compare to generate_icon or generate_icon_base64.

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 use this tool versus generate_icon (single resolution) or generate_icon_base64 (base64 output). It implies a use case for multi-resolution but doesn't explicitly state alternatives or conditions.

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