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list_fonts

List all uploaded custom fonts to view available typography options for document generation, including PDF/DOCX/Excel, invoicing, and signing.

Instructions

List all uploaded custom fonts.

Returns: JSON array of font info objects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The 'list_fonts' MCP tool handler function. It fetches the DocGen client via _get_client(), calls dg.fonts.list(), and returns the JSON-serialized list of fonts.
    @mcp.tool()
    def list_fonts() -> str:
        """List all uploaded custom fonts.
    
        Returns:
            JSON array of font info objects.
        """
        dg = _get_client()
        fonts = dg.fonts.list()
        return json.dumps(fonts)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only mentions the return type (JSON array) without detailing any behavioral traits like read-only nature or performance implications.

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 extremely concise with two sentences, no wasted words, and directly states purpose and return format.

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?

Given zero parameters and the presence of an output schema, the description is largely complete. It specifies listing custom fonts and returning a JSON array, but could mention if there are any limitations or ordering.

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, so baseline is 4. The description adds no additional param info, which is acceptable.

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 clearly states the tool lists all uploaded custom fonts, with a specific verb and resource. It distinguishes itself from sibling tools like list_templates and list_certificates.

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?

No guidance on when to use this tool versus alternatives, no prerequisites or context provided.

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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