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Dev Sportsline

dev_sportsline
Read-only

SportsLine (CBS Sports) odds board: for NFL, NBA, MLB, NHL, college or WNBA, every listed game with teams, start time, venue, TV, status, SportsLine's projected score and, per sportsbook (consensus, BetMGM, DraftKings, FanDuel, bet365, Caesars…), the opening and current moneyline, point spread and total with prices. 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
teamNoOnly games with this team abbreviation, e.g. NE
limitNoGames, 1 to 50 (default 20)
leagueYesnfl, nba, mlb, nhl, college-football, college-basketball, wnba

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely non-obvious behavior: a $0.002 USDC charge per successful call via x402 on Base, Solana or Arc, and explicitly that failed calls are not charged. It doesn't mention rate limits or latency, but the payment semantics are exactly the kind of decision-relevant detail annotations can't carry.

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, front-loaded with the resource and its payload before the pricing caveat. The enumerated data fields are dense but each one tells the agent something about coverage, so little is wasted, though the sportsbook list could be trimmed.

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 paid open-world odds tool, the description covers the return payload, the payment model and failure billing, and an output schema exists to document structure. The remaining gap is the absence of guidance on choosing this over overlapping odds/sportsbook siblings.

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%, with league values, a team abbreviation example (NE) and the 1–50 limit range all documented in the schema. The description restates the league options and doesn't add syntax or defaults beyond it, so the 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?

The description names the exact resource (SportsLine/CBS Sports odds board) and enumerates its payload: teams, start time, venue, TV, status, projected score, and per-sportsbook opening/current moneyline, spread and total. The mention of SportsLine's own projected score and named books (consensus, BetMGM, DraftKings, FanDuel, bet365, Caesars) distinguishes it from generic siblings like dev_the_odds_api_sports or the ESPN scoreboard tools.

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?

Usage is implied by the league list ('for NFL, NBA, MLB, NHL, college or WNBA'), so an agent can infer it fetches odds for a given league. But there is no explicit when-to-use, when-not-to-use, or routing to alternatives such as dev_pinnacle_odds or dev_the_odds_api_sports, which cover overlapping ground.

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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