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smw355

NFL Data MCP Server

by smw355

compare_players

Compare statistics across multiple NFL players by selecting specific metrics and season year, getting side-by-side performance breakdowns to support data-driven player evaluations.

Instructions

Compare statistics between multiple players

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoSeason year (2015-2024)
metricsNoSpecific metrics to compare (optional)
playersYesArray of players to compare
Behavior2/5

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

No annotations are provided, so the description carries full behavioral burden. The description 'Compare statistics between multiple players' conveys a read-only aggregation operation but doesn't disclose what output format is returned, whether results are sorted, how multiple metrics are combined, or whether data is normalized across positions. For a comparative tool with no output schema, this is a meaningful gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with zero waste. However, it is terse to the point of under-specification for a tool with 3 parameters and no output schema. The sentence earns its place but doesn't cover enough ground.

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

Completeness2/5

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

The schema fully describes all 3 parameters (100% coverage), giving the description some relief. However, there is no output schema, no annotations, and the comparison operation has ambiguous semantics - the description doesn't explain what comparison output looks like, whether it's side-by-side fields, deltas, or rankings. Given the tool's moderate complexity, the description is incomplete.

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 the schema fully documents all parameters (players array, year range, metrics array). The description adds nothing beyond what the schema provides. Per the rubric, baseline is 3 with high coverage; the description 'Compare statistics' implies metrics matter but doesn't clarify metric semantics beyond the schema.

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?

The description states a clear verb+resource combination: 'Compare statistics between multiple players.' It uses a specific verb and resource, and the plural 'players' distinguishes it from the sibling get_player_stats (single player) and get_position_leaders (leaderboard). It does distinguish from siblings implicitly via scope, though without explicitly naming alternatives.

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?

The description provides no explicit guidance on when to use this tool versus the siblings. The plural 'players' implies multi-player comparison rather than single-player stats, but no when-to-use, when-not-to-use, or alternative tool names are given. Usage is only implied by the plural framing relative to sibling names.

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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