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Nfl Team Game Log

nfl_team_game_log
Read-onlyIdempotent

Game-by-game NFL team log for one season from nflverse: opponent, home/away, final score and W/L, plus passing, rushing, EPA, turnovers, penalties, sacks and kicking per game.

Input Schema

NameRequiredDescriptionDefault
teamYesnflverse team abbreviation, e.g. "KC", "BUF", "LA" (Rams), "LAC", "WAS", "LV".
seasonYesNFL season year (1999–current). The 2024 season includes its January–February 2025 playoff games. Defaults to the current season.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and repeatability profile is covered. The description adds the data source (nflverse) and the field set returned, but discloses no auth, rate-limit, 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?

A single front-loaded sentence that leads with the resource and scope, then the field inventory. Dense and free of filler, though the long field list makes it slightly list-heavy.

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 usefully enumerates the return dimensions (opponent, home/away, W/L, passing, rushing, EPA, turnovers, etc.), which is the main thing an agent needs. It stops short of return format or row granularity details but is largely complete for a read-only two-param tool.

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%: team abbreviations, examples, and the season range (1999–current) including the 2024 playoff caveat are all documented in the schema. The description adds no parameter syntax or format beyond that, 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+resource+scope: 'Game-by-game NFL team log for one season from nflverse,' and enumerates the returned dimensions (opponent, score, passing, rushing, EPA, etc.). This distinguishes it from player-level and play-level siblings by content, though it never names an alternative directly.

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 through the team-level, season-scoped, per-game framing, so an agent can infer it is not a play-level or schedule tool. However, it names no explicit when-to-use or when-not, and does not point to nfl_play_by_play, nfl_schedule, or nfl_player_season_stats as alternatives.

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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