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meridian-edge-mcp

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get_markets

Retrieve active prediction markets open for consensus. Filter by sport or adjust the number of markets returned.

Instructions

Get active prediction markets currently being tracked.

Shows markets that are open and being monitored for consensus. Use this to see what events are currently available before querying consensus.

Args: sport: Filter by sport — NBA, NFL, MLB, NHL, MLS, POLITICS, or omit. limit: Number of markets to return (1–20, default 10).

Returns: Formatted list of active markets with status and sport.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description must disclose behavioral traits. It states markets are 'open and being monitored' and returns a 'formatted list.' However, it does not mention any potential side effects, rate limits, or auth needs—acceptable for a read operation but not exhaustive.

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?

Description is concise, front-loaded with core purpose, and structured with sections for Args and Returns. No redundant sentences, though slightly more verbose than minimal.

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 output schema exists (context signal), description provides adequate context for a simple two-parameter tool. Explains parameters and return format, sufficient for the tool's complexity.

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?

Schema coverage is 0%, so description must explain parameters. It describes 'sport' with explicit values (NBA, NFL, etc.) and 'limit' with range (1–20, default 10), adding significant value beyond schema.

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 retrieves 'active prediction markets currently being tracked,' with a specific verb and resource. It distinguishes from siblings like 'get_consensus' by focusing on market listing.

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 advises using this tool before querying consensus ('Use this to see what events are currently available before querying consensus'). Provides clear usage context, though lacks explicit when-not-to-use.

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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