ParlayAPI

parlayapi_get_odds

Get game-level odds for a sport from all configured bookmakers.

Args:
    sport_key: e.g. "baseball_mlb", "soccer_epl"
    markets: Comma-separated. h2h, spreads, totals.
    regions: us, us2, uk, eu, fr, au, ca, mx, latam, br, asia. Comma-separated for multiple.
    bookmakers: Comma-separated bookmaker keys (optional).
        Examples: pinnacle, draftkings, fanduel, bovada, caesars.
    odds_format: decimal | american

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": {
      "sport_key": "<sport_key>"
    },
    "name": "parlayapi_get_odds"
  }
}

Input Schema

Name	Required	Default
`markets`	No	h2h
`regions`	No	us
`sport_key`	Yes
`bookmakers`	No
`odds_format`	No	decimal

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 5, 2026

TDQS

A3.9/5.0

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 of behavioral disclosure. It states the scope ('from all configured bookmakers') and the output type ('game-level odds'), which is useful, but it does not disclose behaviors like data freshness, pagination, or whether the call is a live versus cached read.

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 compact and well-structured: a one-sentence purpose followed by a tight Args list. Every line contributes necessary information without unnecessary prose.

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?

Given that an output schema exists, the description does not need to explain return values. It covers all input parameters and the core behavior. It is slightly incomplete only in lacking alternative-tool routing and any caveats about bookmaker configuration or data availability.

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?

Schema description coverage is 0%, and the description fully compensates by documenting every parameter: sport_key examples, comma-separated markets, accepted regions, optional bookmakers with examples, and odds_format choices. This adds substantial meaning beyond the bare schema titles and defaults.

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 opens with a specific verb and resource: 'Get game-level odds for a sport from all configured bookmakers.' This clearly identifies the tool's function and scope, and the phrase 'game-level odds' helps distinguish it from sibling tools like parlayapi_get_props.

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 gives no explicit guidance on when to use this tool versus alternatives such as parlayapi_best_line, parlayapi_consensus, or parlayapi_get_props. Usage context is only implied by the tool name and resource scope, not stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All ParlayAPI tools Inspect

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