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phara23

@alpha-arcade/mcp

by phara23

get_live_markets

Retrieve all live prediction markets with summary data including prices and volume. Multi-choice markets include options with trading identifiers.

Instructions

Fetch all live markets. Returns summary: id, title, marketAppId, prices, volume. Multi-choice markets have an options[] array — use options[].marketAppId for trading, not the parent. Prices (yesPrice/noPrice) are formatted as dollars. Read the agent-guide resource for full data model details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the return format (summary fields, prices in dollars) and the special structure for multi-choice markets, adding value beyond a simple fetch statement.

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?

The description is concise with only three sentences. It front-loads the primary purpose and then adds essential details without waste. Every sentence earns its place.

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 and no parameters, the description is largely sufficient. It covers the return fields and highlights the multi-choice market nuance. The reference to an external 'agent-guide' resource is a minor gap, but overall 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 input schema has zero parameters, so no parameter description is needed. The baseline score is 4, and the description does not need to compensate for any missing parameter details.

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 action ('Fetch all live markets') and lists the returned fields (id, title, marketAppId, prices, volume), distinguishing it from sibling tools like get_market (single market) and stream_live_markets (streaming).

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 provides a specific usage hint for multi-choice markets (use options[].marketAppId for trading), but does not explicitly state when to use this tool versus alternatives or when not to use it.

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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