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Dev Sportsbook Review

dev_sportsbook_review
Read-only

US sportsbook odds comparison from SportsbookReview: for a league (NFL, NBA, MLB, NHL, college, WNBA), market (spread, moneyline or totals) and optional date, every game with teams, start time, venue, public consensus pick percentages and each sportsbook's opening and current line and price (BetMGM, bet365, DraftKings, FanDuel, Caesars, BetRivers, Fanatics, Hard Rock…). 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
dateNoYYYY-MM-DD (default: current slate)
limitNoGames, 1 to 50 (default 20)
leagueYesnfl, nba, mlb, nhl, ncaaf, ncaab, wnba
marketNospread (default), moneyline or totals

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and openWorldHint, yet the description adds the critical operational fact an agent cannot get elsewhere: a real cost of $0.002 USDC per successful call, settled via x402 on Base, Solana, or Arc, with failed calls not charged. Payment/auth mechanism and billing semantics are exactly the kind of beyond-schema behavior an agent needs before invoking.

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?

Two sentences: payload description first, pricing second — well front-loaded. The long book roster with a trailing ellipsis is slightly padded, but each clause (fields returned, books covered, cost) contributes to tool selection.

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?

With an output schema present, return-value explanation is not required, yet the description still summarizes the payload usefully and discloses the pricing model. Only minor gaps remain, such as rate limits and how limit interacts with the default slate.

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 description coverage is 100%, so the schema already documents all four parameters including defaults (current slate, 20 games, spread). The description restates the same league and market vocabularies without adding syntax or edge-case meaning, so baseline 3 applies.

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?

Names the specific resource ('US sportsbook odds comparison from SportsbookReview') and enumerates the exact payload: per-game teams, start time, venue, consensus pick percentages, and opening vs current lines with named books (BetMGM, bet365, DraftKings, FanDuel, Caesars, etc.). That book-level detail plus consensus percentages distinguishes it from single-book siblings like dev_pinnacle_odds and generic aggregators like dev_the_odds_api_sports.

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 description makes the required inputs clear (league, one of spread/moneyline/totals, optional date) but never states when to prefer this over adjacent siblings such as dev_vegasinsider, dev_sportsline, or dev_the_odds_api_sports, nor any exclusions. Usage is inferable from the input framing rather than explicitly guided.

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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