Axiom Agentic Tools

Polymarket Odds

polymarket-odds

Read-only

Fetch live prediction market odds from Polymarket. Returns current probabilities, volume, liquidity, and resolution status for any active or resolved market. Accepts a market slug or keyword search term. $0.01/call.

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": {
      "question": "<question>"
    },
    "name": "polymarket-odds"
  }
}

Input Schema

Name	Required	Description	Default
`question`	Yes	Polymarket market slug (e.g. 'will-trump-win-2024') or keyword search term

Output Schema

Name	Required	Description	Default
`slug`	No
`end_date`	Yes
`outcomes`	Yes
`question`	Yes
`resolved`	Yes
`fetched_at`	Yes
`market_url`	No
`volume_usd`	Yes
`liquidity_usd`	Yes
`resolution_value`	No

Schema Changelog

Changes observed during successful MCP inspections.

AddedJun 18, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations already cover safety (readOnlyHint, destructiveHint), and the description adds valuable context: live nature, active/resolved market scope, and a $0.01/call cost. No contradictions with annotations.

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 concise sentences, front-loaded with the primary action, and includes cost without unnecessary fluff or repetition.

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 one-parameter tool with output schema and good annotations, the description covers purpose, return fields, input format, and cost. Minor gaps like error handling are acceptable given the tool's simplicity.

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?

Schema coverage is 100% for the single parameter, with a clear description and example. The description repeats the slug/keyword behavior but does not add semantic value 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?

The description clearly states the tool fetches live prediction market odds from Polymarket, lists the key returned fields (probabilities, volume, liquidity, resolution status), and differentiates from unrelated siblings.

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 usage when Polymarket odds are needed and clarifies input as slug or keyword. No alternatives or exclusions are mentioned, but the sibling list shows no overlapping tools, so this is acceptable.

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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