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by io.github.bahdanhal
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Generate Favicon Suite

generate_favicon_suite
Read-only

Generate modern multi-platform favicon bundle (adaptive dark-mode SVG, multi-resolution ICO, Apple Touch Icon, Android PWA icons, webmanifest) and minimal HTML tags from SVG or image input.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "svg_content": "<svg_content>"
    },
    "name": "generate_favicon_suite"
  }
}

Input Schema

NameRequiredDescriptionDefault
svg_contentYesThe raw SVG XML markup string to convert into modern multi-platform favicon suite.
dark_mode_strategyNoOptional dark mode strategy: "css_invert_fill" (default), "css_class_swap", or "preserve_colors".css_invert_fill

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true and openWorldHint=false, so the safety profile is already covered, and the description usefully expands on what the bundle contains (adaptive dark-mode SVG, multi-resolution ICO, webmanifest). However, with readOnlyHint=true it never clarifies whether artifacts are written to disk or returned inline, nor the output shape or any size limits — meaningful ambiguity for a generator.

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?

A single dense sentence that front-loads the verb and resource and then enumerates outputs; no filler, nothing redundant with the title.

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?

There is no output schema, and while the description lists the produced artifacts (which partly compensates), it omits the return mechanism (inline files, URLs, or written paths) and any constraints, leaving a gap for a tool whose entire purpose is producing multiple output files.

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%, so both parameters are already documented, making 3 the baseline. The description adds a hint that dark mode is handled adaptively, loosely reinforcing dark_mode_strategy, but it does not explain the strategy values or their trade-offs.

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?

Specific verb ('Generate') plus a precisely scoped resource ('multi-platform favicon bundle'), with the actual artifacts enumerated (SVG, ICO, Apple Touch Icon, PWA icons, webmanifest, HTML tags) and the input type stated. No sibling tool touches favicons, so the distinction is unambiguous.

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 implied rather than stated: an agent can infer you call this when you need a favicon bundle, but there is no when-to-use/when-not guidance or workflow context (e.g., use after generating a logo SVG). Additionally, the description says input can be 'SVG or image input' while the schema accepts only raw SVG XML markup, a small inconsistency.

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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