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Mavline

Polymarket Gamma MCP Server

by Mavline

get_events

Retrieve prediction market events with associated markets. Filter by active status, sort by volume or liquidity, and set a limit.

Instructions

Get events with their associated markets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of events to return (default: 20)
activeNoFilter for active events only (default: true)
orderByNoSort events by field (default: volume)volume
Behavior3/5

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

No annotations are provided, so the description carries the burden. The verb 'Get' implies a read-only operation, but the description does not explicitly state side effects, permissions, or any constraints. It is adequate but not detailed.

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 a single, concise sentence that effectively communicates the core functionality without unnecessary words or preamble.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description explains that events come with associated markets, which provides some context. However, it does not mention return format, pagination, or any caveats. For a simple retrieval tool, it is moderately complete but could be more informative.

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 schema covers all three parameters with descriptions (limit, active, orderBy), so coverage is 100%. The tool description adds no extra meaning beyond the schema, but the parameter descriptions are sufficient, so a baseline score of 3 is appropriate.

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?

The description clearly states the verb 'Get' and the resource 'events', with the additional detail of including 'associated markets', which distinguishes it from sibling tools like get_trending_markets or get_sports_events. It is specific enough to understand the tool's function.

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

Usage Guidelines2/5

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

The description does not mention when to use this tool versus alternatives. It lacks guidance on when this is preferred over other event-related tools, so the agent has to infer from the name and parameters.

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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