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Game Projection & Matchup Breakdown

game_projection
Read-onlyIdempotent

Get pre-game win probability, projected margin, sportsbook line (spread & total), market vig-free win probability, model-vs-line comparison, recent ATS form, and team comparison for an NBA or NFL game. Pro viewers automatically receive factor weights, absence costs, position matchups, and ATS records.

Input Schema

NameRequiredDescriptionDefault
leagueYesLeague ("nba" or "nfl").
game_idYesNumeric game ID (from tonight_slate or team_profile).
include_breakdownNoSet true (requires Keel Stats Pro) to include model factor weights, player absence costs, position matchups, and ATS records. Defaults to true when signed in with Pro.

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 read-only/idempotent/non-destructive, so the bar is lower; the description adds meaningful context by disclosing Pro-tier gating, that Pro viewers automatically get factor weights and absence costs, and how include_breakdown behaves by default.

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?

Front-loaded with the core purpose and outputs in the first sentence, with the Pro-tier detail pushed to a second sentence; dense but nearly every clause carries specific information, though the output list is a bit long.

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 no output schema, the description does the heavy lifting by enumerating the returned fields, and it covers the Pro gating; it could be slightly more complete on game_id sourcing, but nothing critical for calling 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 all three parameters are already documented in the schema; the description only restates the breakdown/Pro concept 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Get) and resource (pre-game win probability/projection for an NBA or NFL game), and it enumerates the exact outputs, so an agent can distinguish it from team_profile or player_profile siblings without opening the schema.

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 enumerated outputs and the schema note that game_id comes from tonight_slate or team_profile, but the description never says when to prefer this tool over siblings like team_profile or props_research, nor any exclusions.

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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