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Turn bets into a sportsbook link

translate_bets

Send a list of picks (team, spread, total, player prop). Returns one squadride.app slip URL to share with the user plus per-sportsbook deep links that open the picks loaded. A total needs "event". Team codes ("KC") and nicknames ("Chiefs") work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
legsYesThe picks. Each needs at least "selection"; add "line", "market", "event", "league", "player" as known.
agentNoYour agent name and URL, shown on the slip.
booksNoLimit to these books: fanduel, draftkings, betmgm, caesars, fanatics, hardrock, thescore, betrivers, prizepicks, kalshi, prophetx, novig, polymarket, betopenly. Default: all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / books / description
      Previous value: -"Limit to these books: fanduel, draftkings, betmgm, caesars, fanatics, hardrock, thescore, betrivers, prizepicks, kalshi. Default: all."New value: +"Limit to these books: fanduel, draftkings, betmgm, caesars, fanatics, hardrock, thescore, betrivers, prizepicks, kalshi, prophetx, novig, polymarket, betopenly. Default: all."
  2. Changed1 schema field changed
    • changedInput schema / properties / books / description
      Previous value: -"Limit to these books: fanduel, draftkings, betmgm, caesars, fanatics, hardrock, thescore, betrivers, prizepicks. Default: all."New value: +"Limit to these books: fanduel, draftkings, betmgm, caesars, fanatics, hardrock, thescore, betrivers, prizepicks, kalshi. Default: all."
  3. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It discloses the return artifacts, the requirement that totals need an 'event', and that team codes and nicknames are both accepted. It does not cover side effects of creating a slip or failure modes, but the most operationally important behavior is surfaced.

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?

The description is compact and front-loaded: it states the input and output in the first sentence, then adds the essential constraints. Every sentence earns its place, though a slightly more structured layout could improve scannability.

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 no output schema and a nested parameter structure, the description explains the main return artifacts and an important input constraint. It does not mention error behavior or explicitly describe how the 'books' parameter affects the deep links, but the schema already documents the allowed book values and default behavior.

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 coverage is 100%, so the baseline is 3. The description adds value by grouping picks into bet types ('team, spread, total, player prop') and by explaining that 'event' is required for totals and that both team codes and nicknames work. This goes beyond the schema's structural field descriptions.

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?

The description clearly names the operation ('Send a list of picks') and the output ('one squadride.app slip URL' plus per-sportsbook deep links), making the core purpose obvious. It does not explicitly differentiate from sibling tools get_slip and list_books, so it falls short of full sibling-level clarity.

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 implies when to use the tool: when the agent has a list of picks that need to become shareable sportsbook links. However, it gives no explicit when-not-to-use guidance and never mentions get_slip or list_books as alternatives, so routing depends on the agent inferring from tool names.

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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