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mlb_statcast_abs_challenges

Read-only

Fetch Baseball Savant ABS challenge rankings for batters, catchers, pitchers, teams, or league. Filter by season, game type, split, challenger/opponent team, pitch type, shadow zone, level, challenge thresholds, leverage, pitch location, and breakeven band; use mlb_discovery for exact values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoOptional competition level: mlb or aaa.
splitsNoOptional repeated split dimensions from mlb_discovery.statcast_abs_challenge_filters.splits.
seasonsNoOptional repeated season values from mlb_discovery.statcast_abs_challenge_filters.seasons.
leverageNoOptional leverage: empty, vlow, low, med, or high.
breakevenNoOptional challenge breakeven band: empty, low, med, high, or vhigh.
data_modeNoOptional view: for or against.
data_countNoOptional count basis: chal or runs.
game_typesNoOptional repeated game type codes: R, S, F, D, L, or W.
split_yearNoOptional split-season display: 1 or 0.
ball_strikeNoOptional pitch location: empty, in, or out.
pitch_typesNoOptional repeated pitch type codes from mlb_discovery.statcast_abs_challenge_filters.pitch_types.
shadow_zonesNoOptional repeated shadow-zone codes from mlb_discovery.statcast_abs_challenge_filters.shadow_zones.
challenge_typeNoOptional board group: batter, batting-team, catcher, pitcher, catching-team, team-summary, or league.
min_challengesNoOptional minimum challenges: 0, 1, 2, 5, 10, or 20.
opponent_team_idsNoOptional repeated MLB team ids from mlb_discovery.statcast_abs_challenge_filters.team_ids.
challenge_team_idsNoOptional repeated MLB team ids from mlb_discovery.statcast_abs_challenge_filters.team_ids.
min_opponent_challengesNoOptional minimum opponent challenges: 0, 1, 2, 5, 10, or 20.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

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 and openWorldHint=true, so the safety and scope profile is covered. The description adds the set of filtering dimensions but says nothing about pagination, result size, auth, or what the 'rankings' output represents, which is modest added value given annotations carry the behavioral load.

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?

Purpose is front-loaded in the first sentence and the filter enumeration follows in a single compact clause. The long filter run-on is dense but every item earns its place by signaling the parameter space; nothing is padded.

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 an output schema present, return values need not be described, and the description covers purpose plus the filter dimensions and how to source their values. For a 17-param, all-optional tool it is nearly complete, lacking only guidance on defaults or combination behavior.

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 baseline is 3; the schema already explains every parameter. The description loosely groups the filters thematically (season, game type, split, pitch type, shadow zone, leverage, breakeven band), which mirrors the schema but adds no new syntax, formats, or enum semantics beyond it.

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 ('Fetch Baseball Savant ABS challenge rankings') and enumerates the entity groupings (batters, catchers, pitchers, teams, league), so an agent immediately knows what domain this covers. It does not explicitly name a sibling it competes with, but the resource is distinctive enough to avoid confusion.

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?

'use mlb_discovery for exact values' points to a companion tool for enumerating filter values, which is genuinely useful. However, it never states when to choose this tool over alternatives or any preconditions, so usage is only implied rather than spelled out.

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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