lazymac-mcp

font_metadata

Retrieve metadata for 102 Google Fonts, access 35 curated font pairings, and generate CSS code for web projects.

Instructions

102 Google Fonts metadata, 35 curated pairings, CSS generation

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "font_metadata"
  }
}

Input Schema

Name	Required	Description	Default
`params`	No	Free-form params object — passed as query string for GET, JSON body for POST

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Apr 15, 2026

TDQS

C2.2/5.0

Behavior1/5

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

No annotations are provided, so the description must fully disclose behavioral traits. However, it only lists features without explaining how the tool behaves—e.g., whether it's read-only, requires authentication, has rate limits, or what output to expect. This leaves critical behavioral aspects undocumented.

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 concise with three brief phrases, avoiding unnecessary words. However, it lacks structure—front-loading key actions or purposes would improve clarity. While efficient, it could be better organized to prioritize the tool's main function.

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 the tool's complexity (inferred from multiple features like metadata, pairings, and CSS generation), no annotations, and no output schema, the description is incomplete. It fails to explain how these features interact, what the output includes, or any prerequisites, leaving significant gaps for an agent to understand and use the tool effectively.

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?

The input schema has 100% description coverage, documenting a single 'params' object as free-form for GET/POST. The description adds no parameter-specific details beyond what the schema provides, such as example parameters or usage. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't detract either.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description '102 Google Fonts metadata, 35 curated pairings, CSS generation' lists three capabilities but lacks a clear action verb or specific purpose. It states what resources are available but not what the tool actually does with them (e.g., retrieve, generate, or analyze). This makes the purpose vague rather than clearly defined.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool, what problems it solves, or how it differs from sibling tools like 'color_palette' or 'text_analysis'. Without any context or alternatives mentioned, it offers no usage instructions, leaving the agent to guess its application.

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