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K1ta141k

mcp-bench-router

by K1ta141k

get_leaderboard

Retrieve design model rankings from the crowdsourced leaderboard, filterable by category, with Elo ratings and OpenRouter availability.

Instructions

Browse the full designarena.ai design model rankings with optional category filter and pagination. Shows Elo ratings, win rates, and OpenRouter availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of entries to return (1-50). Defaults to 10.
offsetNoNumber of entries to skip. Defaults to 0.
categoryNoDesign category to filter by. Options: allcategories, website (models generate a complete website from a text prompt), gamedev (models generate a playable browser game from a text prompt), 3d (models generate an interactive 3d scene from a text prompt), dataviz (models generate interactive data visualizations from a text prompt), uicomponent (models generate a production-ready ui component from a text prompt), image (models generate an image from a text prompt), logo (models generate a logo design from a text prompt), svg (models generate svg markup from a text prompt), video (models generate a video from a text prompt), imagetoimage (models transform an existing image based on a text prompt), slides (models generate a presentation from a text prompt), graphicdesign (models generate graphic design assets (posters, banners, marketing materials) from a text prompt), tts (models generate speech audio from text input). Defaults to "allcategories".
Behavior4/5

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

With no annotations, the description carries full burden. It clearly identifies the operation as a read-only browse, describes returned data (Elo ratings, win rates, availability), and implies safe behavior. However, it omits details like response format, performance characteristics, or authentication requirements.

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, no filler words. Front-loaded with verb 'Browse' and resource 'design model rankings'. Every word contributes meaning.

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 no output schema, the description mentions returned data fields. It covers optional filtering and pagination. Minor gap: doesn't confirm ordering (by rank assumed) or mention response size limits beyond schema's parameter constraints.

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 already provides comprehensive descriptions for all three parameters (limit, offset, category) including enum options and defaults. The description adds no additional parameter-specific meaning beyond what the schema offers.

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 browses full design model rankings with optional category filter and pagination, listing specific data fields like Elo ratings, win rates, and OpenRouter availability. It distinguishes from siblings which query specific models or the best model.

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 description implies usage for browsing rankings but does not explicitly state when to use this tool versus siblings (e.g., when you need a general overview vs. specific model details). No when-not-to-use or alternative guidance is 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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