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Crawlora MCP

mlb_statcast_home_runs_details

Read-only

Return individual home-run play records with game date, batter/pitcher ids, exit velocity, launch angle, distance, and park outcomes for a Baseball Savant batter or pitcher. Supply player_id, player_type, year, and cat from the leaderboard row; trajectory images and video media are separate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catNoOptional home run mode: adj_xhr (Adjusted) or xhr (Standard). Defaults to adj_xhr.
yearNoOptional season from the current season back seven seasons; defaults to the current season.
limitNoOptional number of plays, 1-500; defaults to 100.
offsetNoOptional zero-based result offset.
player_idYesRequired positive MLB player id from a Home Runs leaderboard row.
player_typeNoOptional table: Batter or Pitcher; must match the leaderboard row.

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 and openWorldHint, so the safety profile is covered. The description adds that the result is per-play detail records and that media assets are excluded, which is useful behavioral context, but it says nothing about pagination behavior despite limit/offset parameters, and the returned fields it lists are largely duplicated by the existing output schema.

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 tight sentences with the return content front-loaded and the input provenance second; no filler. Slightly dense with the field enumeration, but nothing is wasted.

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, a read-only annotation set, and 100% parameter coverage, the description is nearly complete. It usefully flags that media lives elsewhere; the only real gap is the absence of pagination guidance for limit/offset.

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 every parameter is already documented in the schema, giving a baseline of 3. The description adds only the framing that player_id, player_type, year, and cat should be taken from the leaderboard row, which is a marginal gain over the schema's own 'from a Home Runs leaderboard row' notes.

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 and resource ('Return individual home-run play records') and enumerates the returned fields (game date, batter/pitcher ids, exit velocity, launch angle, distance, park outcomes). It implicitly distinguishes itself from the mlb_statcast_home_runs leaderboard by framing inputs as coming 'from the leaderboard row' and by being the 'details' tool, but it never names the sibling explicitly.

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?

Tells the agent where the inputs come from ('from the leaderboard row') and that 'trajectory images and video media are separate', which steers the agent away from expecting media here. It lacks an explicit when-not-to-use statement and does not name the tool that serves the media.

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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