Crypto, web, finance and app data tools

Polymarket Search

polymarket_search

Search open Polymarket prediction markets by keyword (election, bitcoin, fed, AI...) and get each event's markets with live outcome probabilities, best bid/ask, 24h and total volume, liquidity, end date and link. Use to answer what the market thinks will happen, or to find a market to trade.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "q": "<q>"
    },
    "name": "polymarket_search"
  }
}

Input Schema

Name	Required	Description	Default
`q`	Yes
`limit`	No

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

AddedOct 22, 2026

TDQS

A3.5/5.0

Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses that results are limited to open markets and include live probabilities and bid/ask data, but it does not mention read-only status, auth needs, rate limits, or pagination.

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 two sentences, front-loaded with the search action and return details, and every sentence adds useful information without waste.

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?

An output schema exists, so return values need less explanation, and the description covers the main purpose and output highlights. However, with no annotations and 0% schema coverage, missing limit behavior and search scoping details leave gaps for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It gives useful keyword examples for the q parameter, but it never explains the limit parameter or its default of 10.

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 gives a specific verb and resource: search open Polymarket prediction markets by keyword. It clearly states what the tool returns, but it does not explicitly distinguish itself from nearby siblings such as polymarket_market or polymarket_top_markets.

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?

It provides clear use cases: answering what the market thinks will happen, or finding a market to trade. It does not name alternatives or state when not to use this tool, but the usage context is clear.

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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