Skip to main content
Glama

fanduel_sportsbook_player

Read-only

Get a FanDuel Sportsbook player's overview: position, team, season, recent news and updates, plus season totals and a game log (NFL) or stats and projections (NBA). Use it for a one-call profile of a player; 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

A4.1/5.0
Behavior4/5

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 value by disclosing the returned content shape (NFL game log vs. NBA stats and projections), which tells the agent the response differs by league. It stops short of saying whether the data is cached/fresh or paginated.

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 primary content enumeration followed by the usage directive and prerequisites. No filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With annotations covering read-only/open-world behavior, an output schema covering return fields, and 100% parameter coverage, the description only needs to convey scope and prerequisites, which it does. Nothing an agent needs to call it correctly is missing.

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 both parameters are already documented, including the slug source tools. The description restates the league values and slug origin without adding syntax or format detail beyond the schema, so baseline 3 applies.

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?

States a specific verb and resource ('Get a FanDuel Sportsbook player's overview') and enumerates the exact contents (position, team, season, news, season totals, NFL game log / NBA stats and projections). This is far more specific than the siblings like fanduel_sportsbook_player_stats or _news, though it never explicitly names those siblings as alternatives.

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?

Gives a clear usage condition ('Use it for a one-call profile of a player') and states prerequisites (league nfl or nba, slug from fanduel_sportsbook_players). It does not say when to prefer the narrower sibling tools such as fanduel_sportsbook_player_news or _player_stats instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.