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draftkings_teams

Read-only

List the teams on DraftKings Sportsbook's public page for one league. Use draftkings_leagues to discover league IDs and draftkings_team for one team's details.

Input Schema

NameRequiredDescriptionDefault
leagueYesLeague: nfl, nhl, nba, cbb, mlb, cfb. Documented values: nfl, nhl, nba, cbb, mlb, cfb.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / league / description
      Added value: +"League: nfl, nhl, nba, cbb, mlb, cfb. Documented values: nfl, nhl, nba, cbb, mlb, cfb."
  2. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that data comes from DraftKings' 'public page', a useful source note, but says nothing about freshness, caching, or result volume. With annotations carrying the safety burden, a 3 is appropriate.

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 tight sentences with the core purpose front-loaded and the sibling pointers second. No filler.

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?

An output schema exists, so return values need no explanation, and annotations cover safety. Purpose, parameter sourcing, and sibling routing are all present; only minor behavioral details (freshness, result size) are absent.

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% and the enum values are already listed, so the schema does the heavy lifting. The description adds real value by telling the agent where to source valid league IDs (draftkings_leagues), which the schema does not convey.

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 (list) plus resource (teams) and scope (for one league on DraftKings' public page). It is clearly distinguishable from the sibling draftkings_team (single team) and draftkings_leagues (league discovery), so an agent can route without opening a 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?

Explicitly names draftkings_leagues as the way to obtain the league ID and draftkings_team for one team's details, giving the agent clear routing context. It stops short of stating when-not to use this tool, but the alternative mapping is strong.

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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