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odds-api-io

Odds-API MCP Server

Official
by odds-api-io

get_arbitrage_bets

Find arbitrage bets by comparing odds from multiple bookmakers. Provides profit margin, stake allocation, and bet links for guaranteed returns.

Instructions

Get arbitrage opportunities across bookmakers. Returns profit margin, optimal stake distribution, and direct bet links for each leg.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bookmakersYesComma-separated bookmaker names (e.g., 'Bet365,SingBet')
limitNoMaximum results (default 50, max 500)
includeEventDetailsNoInclude full event details in response
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions return types but omits behavioral details like data freshness, rate limits, or authentication needs. The description is adequate but not comprehensive.

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?

Two concise sentences that front-load the purpose and return fields. No unnecessary words 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 tool with 3 parameters all described in schema and no output schema, the description covers input and output adequately. However, it could mention that 'bookmakers' is required and describe output format in more detail.

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%, with each parameter described in the schema. The description adds no additional meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 retrieves arbitrage opportunities across bookmakers and specifies the return fields (profit margin, optimal stake distribution, bet links). It differentiates from siblings like 'get_value_bets' by focusing on arbitrage.

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?

No guidance on when to use this tool over alternatives such as 'get_value_bets' or 'get_dropping_odds'. No mention of prerequisites or context for optimal use.

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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