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fanduel_sportsbook_event_stats

Read-only

Get one FanDuel Sportsbook event's public betting split (share of bets and of money on each side of the spread) and each team's last five results. Use it to see how the public is betting a game; it needs an event_id from the event or league tools, and events without stats are not found.

Input Schema

NameRequiredDescriptionDefault
event_idYesEvent id from any Sportsbook events listing.

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

A4.3/5.0
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 useful behavioral context beyond that: the output includes betting split and recent team results, and events without stats return not-found. It does not discuss auth or rate limits, which keeps it from a 5.

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 dense sentences with zero filler: the first front-loads what data is returned, and the second gives usage context, prerequisite, and failure condition. Every clause earns its place.

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?

For a one-parameter, read-only tool with an output schema and safety annotations, the description covers the essential agent-facing details: what is returned, where event_id comes from, and the not-found behavior for events lacking stats.

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%, so the single event_id parameter is already documented as "Event id from any Sportsbook events listing." The description adds only the slightly more specific source hint (event or league tools), which is helpful but largely overlaps the schema.

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 uses a specific verb ("Get") and names the exact resource: a FanDuel Sportsbook event's public betting split plus each team's last five results. This distinguishes it from adjacent siblings such as event score, box score, or generic stats tools without requiring the agent to inspect schemas.

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 clearly says to use it "to see how the public is betting a game" and states the prerequisite of an event_id from the event or league tools. It does not name an explicit alternative tool or when not to use it, so it falls short of full routing guidance.

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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