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christianclaudio

io.github.christianclaudio/espn

Teams Get Athlete Gamelog

teams_get_athlete_gamelog
Read-onlyIdempotent

Fetch an athlete's game-by-game statistical log for a full season by sport, league, and athlete ID.

Instructions

Fetch game-by-game statistical performance log for an athlete across an entire season.

Input Schema

NameRequiredDescriptionDefault
sportYese.g. basketball
leagueYese.g. nba, eng.1
seasonNoYear the season ends (2016 = 2015-16); NFL, MLB: the year played; soccer: the year it starts.
athlete_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv2.0.0
    • addedInput schema / properties / league / description
      Added value: +"e.g. nba, eng.1"
    • addedInput schema / properties / season / description
      Added value: +"Year the season ends (2016 = 2015-16); NFL, MLB: the year played; soccer: the year it starts."
    • addedInput schema / properties / sport / description
      Added value: +"e.g. basketball"
  2. First observedv1.2.9

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, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the useful scope constraint of a full-season game log, but does not mention pagination, return format, or other behavioral details.

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?

A single front-loaded sentence with no filler. Every word contributes to defining the resource and 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?

The purpose and seasonal scope are clear, and annotations cover safety. However, with many sibling athlete-stat tools and no output schema, the description leaves the agent without selection guidance among competitors like athlete_stats or splits and adds no parameter context.

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 75%, and the schema already documents sport, league, and season semantics. The description does not add syntax or meaning for athlete_id or any other parameter, so it performs at the baseline level when structured fields do most of the work.

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 (Fetch), resource (game-by-game statistical performance log), and scope (for an athlete across an entire season). This clearly distinguishes it from aggregate-stat siblings like teams_get_athlete_stats or teams_get_athlete_splits.

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 explains what the tool returns but gives no when-to-use guidance, no alternatives, and no exclusions. There are many athlete-stat sibling tools, so routing guidance would be valuable here.

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