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get_tokens

Retrieve design tokens—colors per theme, font sizes, weights, radii, spacing, fonts, and minimum tap target—to apply consistent values when creating or editing screens.

Instructions

Get the design tokens (colors per theme, font sizes, weights, radii, spacing, fonts, minimum tap target). Use only these values when creating or editing screens.

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": "get_tokens"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It implies a read-only retrieval and constrains downstream use of the values, but it does not state authentication needs, error behavior, or the exact response shape beyond listing token categories.

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?

Two sentences, front-loaded with the resource and its contents, followed by the key usage constraint. Every sentence earns its place and there is no redundant wording.

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 simple zero-parameter read tool with no output schema and no annotations, the description gives enough context: it names the token categories returned and tells the agent to use only those values when editing screens. It could go slightly further on response structure or theme handling, but the core is complete.

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 zero parameters, so the baseline is 4. The description appropriately does not invent parameter details, and the empty schema leaves nothing additional to explain.

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 clearly states a specific verb and resource: 'Get the design tokens,' and enumerates token categories such as colors per theme, font sizes, weights, radii, spacing, fonts, and tap targets. It does not explicitly distinguish itself from the sibling check_tokens, so it falls short of a 5.

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 line 'Use only these values when creating or editing screens' gives clear usage context, but it does not explain when to call get_tokens versus check_tokens or other alternatives. Usage is implied rather than explicitly routed.

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