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Mavline

Polymarket Gamma MCP Server

by Mavline

search_markets

Search Polymarket prediction markets by text query to find relevant markets based on question or description content.

Instructions

Search markets by text query in question/description

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (default: 30)
queryYesSearch query text
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It adds a useful detail about searching within question/description fields, but it does not disclose any quirks, result ordering, pagination behavior, or whether it's a read-only operation. This is adequate but not thorough.

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 conveys the essential purpose without any fluff or repetition. It is front-loaded and easy to parse.

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?

For a simple search tool with only two parameters and no output schema, the description is sufficient. It explains what fields are searched and the schema covers the limit parameter. It does not need to enumerate return values since no output schema exists, and the tool's behavior is straightforward.

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 schema provides 100% coverage for both `query` and `limit` with descriptive text. The description adds extra semantics by specifying that the search applies to 'question/description', which clarifies the scope of the query parameter beyond the schema's generic 'Search query text'.

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's action ('Search'), the resource ('markets'), and the specific mechanism ('by text query in question/description'). This distinguishes it from sibling tools like get_markets_by_category or get_trending_markets, which retrieve markets through different criteria.

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?

The description implies this tool is for free-text searching within market questions/descriptions, which provides clear context for when to use it. However, it does not explicitly mention alternatives or when not to use this tool, so it falls short of a 5.

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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