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Player Profile & Advanced Stats

player_profile
Read-onlyIdempotent

Get an NBA or NFL player profile: season averages, efficiency (TS%, eFG%, USG%, BPM or NFL yards/touchdowns), Keel Impact headline, current injury status, and recent 10-game log.

Input Schema

NameRequiredDescriptionDefault
leagueYesLeague ("nba" or "nfl").
seasonNoOptional season year (e.g. 2026 for 2025-26 NBA or 2025 NFL). Defaults to the current season.
player_idYesNumeric player ID from the search tool.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description adds useful context about the data returned (injury status, recent 10-game log, Keel Impact headline), but does not disclose behavioral details like rate limits, caching, or response format beyond what annotations provide.

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?

The description is a single, front-loaded sentence that lists the key outputs efficiently. Every element earns its place, and there is no redundant or vague language.

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?

There is no output schema, but the description enumerates the return contents (season averages, efficiency metrics, injury status, 10-game log), which compensates well. The only gap is the lack of explicit guidance on sourcing player_id (though the schema notes it comes from the search tool) and no note on response structure.

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 the three parameters (league, season, player_id). The description adds marginal value by implying that season averages and current injury status are returned, but it does not explain parameter usage or formats beyond the schema. Baseline 3 is appropriate.

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 specific verb ('Get') and resource ('player profile'), and enumerates the contents (season averages, efficiency metrics, injury status, 10-game log), making it clear what the tool returns. However, it does not explicitly differentiate itself from sibling tools like player_splits_and_on_off or injury_consequences, leaving the agent to infer boundaries.

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 guidance on when to use this tool versus alternatives such as player_splits_and_on_off, injury_consequences, or game_projection. The usage is only implied by the contents listed, with no explicit conditions or 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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