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christianclaudio

io.github.christianclaudio/espn

Games Get Game Summary

games_get_game_summary
Read-onlyIdempotent

Retrieve a complete game summary by event ID, including betting lines, win probabilities, team stats, recent form, head-to-head history, and injuries.

Instructions

Fetch comprehensive game summary for an event ID, including consensus betting lines (spread, moneyline, over/under from DraftKings/Caesars/ESPN BET), matchup predictor (FPI/BPI win probabilities), live win probability curve, season head-to-head series, last 5 games momentum, team statistics, and in-game injuries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportYes
leagueYes
event_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.9

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful transparency about the returned data scope (including live win probability curve and in-game injuries), but it does not disclose freshness, rate limits, authentication needs, or pagination behavior.

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?

The single sentence is front-loaded with the verb and resource, then lists contents efficiently. It is fairly long due to the enumeration, but every item earns its place by describing the return scope.

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

Completeness3/5

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

There is no output schema, so the description carries the burden of explaining return values, and it does so thoroughly. However, it leaves the three required input parameters (sport, league, event_id) mostly unexplained, which is a notable gap for a tool with no parameter descriptions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions an event ID but does not explain the sport or league parameters, their expected format, or how they interact with event_id, leaving two required parameters semantically undocumented.

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 states a specific verb (Fetch) and resource (comprehensive game summary for an event ID), then enumerates the exact data categories returned. This clearly distinguishes it from narrower siblings like games_get_event_odds or games_get_win_probabilities, which each cover only a subset of this summary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives. It does not mention that it is an aggregate endpoint that may replace calls to several sibling tools, nor does it state any prerequisites or exclusions.

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