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Crawlora MCP

mlb_statcast_player_details

Read-only

Fetch game-level pitch or batted-ball event records expanded from a standard Baseball Savant Statcast batter or pitcher row. Use this when you need a player's event-by-event data; pass player_id and optionally player_type (batter or pitcher) and year. Team rows do not have player details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoOptional season from 2015 through the current season. Defaults to the current season.
player_idYesRequired positive MLB player id from a batter or pitcher row.
player_typeNoOptional player row type: batter or pitcher. Defaults to batter; team rows do not have detail expansions.

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

A3.6/5.0
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 profile is covered. The description adds that output is expanded event records derived from a player row, which is useful, but it says nothing about pagination, volume, or how many events are returned. Adequate but not rich.

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?

Two sentences, front-loaded with the fetch semantics and followed by the usage/exclusion clause. No filler, though the 'expanded from a standard Baseball Savant Statcast batter or pitcher row' phrasing is slightly dense.

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?

An output schema exists, so return values need not be explained, and the parameter schema is fully documented. The description supplies the key routing context (player vs team rows) and the data shape, leaving only minor gaps like result volume.

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%, and the description merely restates player_id, player_type (batter/pitcher), and year without adding format or constraint detail beyond the schema. Baseline 3 is appropriate when the schema carries parameter meaning.

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-level pitch or batted-ball event records'), and clarifies that it returns per-player event rows expanded from a standard Statcast batter/pitcher row. It distinguishes player-row drill-down from team rows, though it does not name the sibling aggregation tools it complements.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Use this when you need a player's event-by-event data' gives a clear context, and 'Team rows do not have player details' gives an explicit exclusion. No alternative tool is named for the aggregate/team case, so it falls just short of full routing guidance.

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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