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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 stats for an entire season. Analyze performance trends, compare matchups, or track progress over time.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportYes
leagueYes
seasonNo
athlete_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.9

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only the 'entire season' scope; it does not clarify what happens when the optional season is omitted (default null) or how results are ordered/limited.

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 with no filler; the core action and scope appear immediately. It is efficient, though it is arguably too terse given the surrounding ambiguity.

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?

With no output schema and 0% parameter coverage, the description carries the full burden but omits key details: what a gamelog entry contains, the season default behavior, and how this differs from the many adjacent athlete-stats tools. Incomplete for an agent to invoke confidently.

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% and the description supplies no meaning for sport, league, athlete_id, or season formats/values. The phrase 'across an entire season' only faintly hints at the season parameter and leaves the null default unexplained, so it does not compensate for the coverage gap.

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 (fetch) and resource (game-by-game statistical performance log) scoped to one athlete over a season. It implicitly differs from teams_get_athlete_stats/teams_get_athlete_splits via 'game-by-game', but it never names those siblings, so differentiation is left to inference.

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 when-to-use guidance and no mention of near-neighbors like teams_get_athlete_stats, teams_get_athlete_splits, or teams_get_athlete_overview. An agent cannot tell from the text which athlete stat tool to pick under which condition.

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