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Dev The Odds Api Sports

dev_the_odds_api_sports
Read-only

Pre-match head-to-head odds for one sport from The Odds API (v4): each event with start time, teams and each bookmaker's decimal prices, plus the best price per outcome and which bookmaker offers it. Needs the owner's free The Odds API key; uses quota on that key. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportYesThe Odds API sport key, e.g. soccer_epl, basketball_nba, americanfootball_nfl
regionsNoBookmaker region: us, uk, eu or au (default uk)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Goes well beyond readOnlyHint/openWorldHint: it discloses the prerequisite (owner's own free The Odds API key), that the call consumes that key's quota, the exact price ($0.002 USDC per successful call), the payment rails (x402 on Base, Solana or Arc), and that failed calls are not charged. That is exactly the cost/auth/failure information an agent needs before invoking a paid endpoint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the data description, then requirements and pricing, with no filler sentences. It is dense and comma-packed in the first sentence, but every clause carries information an agent needs.

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?

For a paid, key-gated read endpoint with an output schema already covering return shape, the description supplies the remaining essentials: auth prerequisite, quota consumption, per-call cost, payment mechanism, and the no-charge-on-failure guarantee. Nothing required to invoke it correctly is missing.

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% — both 'sport' and 'regions' are documented with examples and a default in the schema. The description only restates 'for one sport' and does not add format, enum, or default guidance beyond what the schema already provides, so baseline 3 applies.

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?

Names a specific verb+resource+source: pre-match head-to-head odds for one sport from The Odds API v4, with an explicit contents list (start time, teams, bookmaker decimal prices, best price and its bookmaker). It does not explicitly contrast with the many sibling odds/scoreboard tools (dev_pinnacle_odds, dev_vegasinsider, dev_espn_*), relying on the upstream source name alone to differentiate.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'pre-match' qualifier implicitly excludes live/in-play odds, which is useful routing context, and the key/quota/billing requirements are stated. But no alternative tool is named and there is no explicit when-not guidance despite a large cluster of competing sports/odds siblings.

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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