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aintoniodev

fusion-svg-mcp

by aintoniodev

List Disler SVG style tokens

list_style_tokens

Retrieves the color palette, glyphs, font stack, and structural rules extracted from Disler fusion-harness SVGs to establish the styling foundation for generated diagrams.

Instructions

Return the color palette, glyphs, font stack, and structural rules extracted from the original Disler fusion-harness SVGs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations at all, the description carries the full burden of behavioral disclosure. The description clearly signals a read/passive operation ('Return', 'extracted from') and specifies the content domains returned (color palette, glyphs, font stack, structural rules). It doesn't describe output shape or whether extraction happens lazily, but for a zero-parameter retrieval tool, the intent and side-effect profile are reasonably transparent.

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?

The description is a single, focused sentence with zero wasted words. It front-loads the return value and enumerates the specific categories of style data. It is appropriately sized for a zero-parameter retrieval tool.

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

Completeness4/5

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

For a zero-parameter, read-only style-token retrieval tool with no output schema required, the description covers essential information: what data is returned and its source (the original Disler fusion-harness SVGs). It doesn't detail the exact structure/nesting of the returned tokens, but given the tool has no params and no output schema, this level of detail is arguably adequate for an agent to invoke and consume the result.

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

Parameters4/5

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

The tool has 0 parameters, and the schema coverage is 100% (vacuously, since there's nothing to describe). With no parameters, the baseline score is 4, and the description clearly enumerates what data will be returned, which is the relevant semantic information an agent needs even without parameters.

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?

The description uses specific verbs and resources: 'Return the color palette, glyphs, font stack, and structural rules extracted from... SVGs.' This clearly distinguishes it from sibling tools like list_diagrams (which presumably lists diagrams) and generate_diagram (which generates diagrams). The resource (Disler style tokens) and action (return/extract) are 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?

The description implies this is a read-only retrieval tool for style information, which is reasonably distinct from siblings (listing/generating diagrams). However, it doesn't explicitly state when to use this vs alternatives, nor does it explain what the downstream use is (e.g., 'use these tokens when generating diagrams'). The purpose is clear enough that an agent could infer usage, but there's no explicit context or exclusion guidance.

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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