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Compare sports APIs side by side

compare_sports_apis
Read-only

Use this when a developer names two to four sports odds or sports data API providers and wants them compared, for example "The-Odds-API vs OddsPapi" or "SportsGamesOdds or SportsData.io for player props". Returns a side-by-side table of researched feature support (pregame, live, Bet365, Pinnacle, closing odds, futures, same game parlay, deeplinks, settlement, stats, schedules, WebSocket, MCP server, esports), pricing scale, free tier, sports mentioned in our reviews, the differences between them, and the SportsAPIs.dev review URL for each. Providers must be in the SportsAPIs.dev directory. Do not use this to compare betting odds or sportsbook prices for a game.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providersYesTwo to four provider names as developers write them, for example ["The-Odds-API", "OddsPapi", "SportsGamesOdds"].

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
providersYes
next_stepsNoWhich tool to call for the likely follow-up questions.
differencesYes
shared_confirmedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / next_steps
      Added value: +{
      +  "description": "Which tool to call for the likely follow-up questions.",
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructivedHint=false and openWorldHint=false, so the safety profile is covered. The description adds real context beyond that: a hard precondition ('Providers must be in the SportsAPIs.dev directory') and an explicit non-goal about game-level odds comparison, which tells the agent what will and won't work.

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-loaded with the usage trigger, then the examples and the exclusion. The long enumeration of returned feature types is somewhat wasteful because an output schema already exists, but it reads as agent-matching vocabulary rather than pure repetition, so the length is mostly earned.

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?

With an output schema present, the description need not explain return values, yet it still gives the trigger, examples, a provider-directory precondition, and a clear exclusion. For a single-parameter, fully-described schema tool this covers everything an agent needs to invoke it correctly.

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

Parameters4/5

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

Schema description coverage is 100%, so the 3-point baseline applies, but the description adds a validation constraint not present in the schema ('Providers must be in the SportsAPIs.dev directory') and clarifies the two-to-four cardinality. That extra constraint on valid values justifies going above baseline.

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?

States a specific verb (compare) and resource (sports odds/data API providers) with the exact scope ('two to four'), and the examples plus the 'side-by-side table' framing make it clearly distinct from find_sports_apis (discovery) and get_sports_api_details (single provider). An agent can disambiguate from siblings without opening any schema.

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?

Provides an explicit trigger ('Use this when a developer names two to four ... providers and wants them compared') plus a concrete exclusion ('Do not use this to compare betting odds or sportsbook prices for a game'). It stops short of naming the sibling alternatives (find_sports_apis / get_sports_api_details) for the excluded or single-provider cases, so it is not fully self-routing.

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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