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fzlzjerry

polymarket-mcp

by fzlzjerry

polymarket_search

Read-only

Search Polymarket events and markets using natural language queries. Find markets about any topic, view parsed outcomes and probabilities.

Instructions

Natural-language search across Polymarket events, markets, and tags.

The primary entry point for "find me markets about X". Each returned event includes a short list of its markets with parsed outcomes and probabilities.

Args: query: Free text, e.g. "2024 election" or "bitcoin 100k". limit_per_type: Max results per type (events/tags), capped at 20. events_status: Optional status filter, e.g. "active". keep_closed_markets: Include closed markets in results (default False).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limit_per_typeNo
events_statusNo
keep_closed_marketsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsNo
tagsNo
total_resultsNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. Description adds valuable behavioral context: each returned event includes markets with parsed outcomes and probabilities. No contradiction.

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 and well-structured: purpose, usage context, return content, then parameter list. Every sentence adds value with no redundancy.

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

Completeness5/5

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

Complete for a search tool with good annotations and output schema. Covers purpose, usage, parameters, and return structure. No gaps given the presence of output schema.

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?

Despite 0% schema description coverage, the description explains each parameter thoroughly: query with examples, limit_per_type cap, events_status filter, keep_closed_markets default. This adds significant meaning beyond the 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?

Clearly describes tool as 'natural-language search across Polymarket events, markets, and tags'. Distinguishes from siblings (get_tool, list_tool) by being the primary entry point for free-text queries.

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 states it's the primary entry point for 'find me markets about X', giving clear context. Does not explicitly mention when not to use or list alternatives, but the context implies for specific known IDs the get_tools are appropriate.

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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