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List Themes

list_themes
Read-only

Get a list of all available themes with style descriptions and recommendations.

Call this to decide which theme to use. Returns a guide organized by style (dark, academic, modern, playful, etc.) with "best for" recommendations.

After picking a theme, call get_theme with the theme name to read its full documentation (layouts, components, examples) before rendering.

This tool does NOT display anything to the user — it is for your own reference when choosing a theme.

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": "list_themes"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful context the annotations cannot: that it renders nothing to the user and exists only as agent-facing reference, and that results are grouped by style with 'best for' guidance. It goes no further (no size/limits), so this sits at a solid 3 given the annotation coverage.

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?

Front-loaded with the outcome, then the when-to-use, then the follow-up action — a clean three-beat structure. The only waste is mild repetition of the recommendations idea in the first and second sentences, which costs it the top score.

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?

An output schema exists, so return values need no prose explanation, and the description nonetheless previews the shape (organized by style, 'best for' recommendations). For a zero-parameter, zero-risk listing tool the coverage is nearly complete; the only missing piece is any statement about how it relates to browse_themes.

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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. No misleading parameter language is present.

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?

States a specific verb and resource ('Get a list of all available themes') plus what the payload contains (style descriptions and 'best for' recommendations), which is concrete. It cleanly hands off to get_theme for detail, but never distinguishes itself from the sibling browse_themes, leaving an ambiguity an agent must resolve on its own.

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

Usage Guidelines4/5

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

Explicitly tells the agent when to call it ('Call this to decide which theme to use') and prescribes the next step ('after picking a theme, call get_theme ... before rendering'). It gives clear positive routing but no exclusion or contrast against browse_themes, so the alternative case is left implied.

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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