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MCP Prediction Markets

by huntbuilds

get_trending_markets

Get prediction markets sorted by 24-hour trading volume, with current odds, to see where money is flowing.

Instructions

Get the most popular/trending prediction markets by trading volume.

See what the prediction markets are focused on right now. Markets are ranked by 24-hour trading volume, showing where the most money and attention is flowing.

Args: platform: "polymarket" or "kalshi" (default "polymarket" — typically higher volume) limit: Number of markets to return (default 20, max 50)

Returns: JSON with trending markets ranked by volume, with current odds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNopolymarket
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, description implies read-only behavior but does not explicitly state it is non-destructive or safe.

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?

Concise with front-loaded purpose, clear parameter listing, and no wasted words.

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?

Covers all essential aspects given low complexity and presence of output schema, but could mention error handling or platform validation.

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?

Since schema has 0% coverage, description fully explains both parameters: platform (with examples and default reasoning) and limit (with default and max).

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 the tool gets trending markets by trading volume, differentiating from siblings like search_prediction_markets or get_category_markets.

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?

Provides clear context for when to use (to see current trending markets) but lacks explicit when-not-to-use or alternative tool guidance.

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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