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fanduel_sportsbook_player_stats

Read-only

Get a FanDuel Sportsbook player's career and per-season statistics, grouped the way each sport reports them. Use it for a player's full statistical history; it needs league nfl or nba and a player slug from fanduel_sportsbook_players.

Input Schema

NameRequiredDescriptionDefault
leagueYesLeague: nfl or nba.
playerYesPlayer slug ending in its id, such as josh-allen-53775, from fanduel_sportsbook_players or fanduel_sportsbook_team_roster.

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. Added

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and openness are covered. The description adds scope details (career and per-season, grouped by sport), but does not disclose operational traits like freshness, pagination, or coverage limits, leaving it adequate but not rich.

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 sentences, front-loaded with the core purpose and followed by usage and prerequisites. No sentence is wasted, and the structure moves directly from what it does to when to use it.

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 a full input schema, an output schema, and read-only annotations, the definition covers the essentials: purpose, scope, and parameter sourcing. Minor gaps around freshness or season coverage are acceptable given the structured fields, but the description could be slightly more explicit about what 'career and per-season' excludes.

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 coverage is 100% and both parameters already include descriptions with allowed values and slug sourcing. The description largely repeats the schema by stating league nfl or nba and a player slug from fanduel_sportsbook_players; it adds no syntax, format, or edge-case guidance beyond that.

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 states a specific verb (Get) and resource (FanDuel Sportsbook player's career and per-season statistics). It distinguishes the scope from event-level or profile tools via 'full statistical history' and 'per-season,' but does not explicitly name any sibling tool to route away from.

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?

It gives a clear usage context: 'Use it for a player's full statistical history,' and states the prerequisites (league and a player slug from fanduel_sportsbook_players). It stops short of naming when-not-to-use cases or explicit alternatives such as event stats or player profile.

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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