Skip to main content
Glama

get_token

Retrieve a specific design token's name, value, and category by providing the token name and an optional category to narrow the search.

Instructions

Look up a specific design token by name. Read-only, no side effects. Returns the token's name, value, and category, or an error if not found. Pass category to narrow search: colors, spacing, typography, borderRadius, shadows. Pass empty string to search all. Use this when you know the token name. For a broad overview of all tokens, use get_design_context with category 'tokens' instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
categoryYes
Behavior5/5

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

With no annotations, description states read-only, no side effects, returns fields or error. Sufficient behavioral disclosure.

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?

Five sentences, well-structured, front-loaded purpose, no unnecessary words.

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

Completeness5/5

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

No output schema, but description explains return fields and error. Sibling tools similar but this one specific. Complete and clear.

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

Parameters5/5

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

Schema has 0% description coverage, description compensates by explaining category valid values (colors, spacing, etc.) and empty string behavior, and name purpose.

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?

Description clearly states it looks up a specific design token by name, what it returns (name, value, category), and error handling. It distinguishes from get_design_context.

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

Usage Guidelines5/5

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

Explicitly says use when you know the token name, and to use get_design_context for broad overview. Explains category parameter behavior including empty string.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AI-by-design/primitiv'

If you have feedback or need assistance with the MCP directory API, please join our Discord server