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Crawlora MCP

mlb_statcast_catcher_blocking_details

Read-only

Fetch paginated play-location events for a Baseball Savant Catcher Blocking Cat, Pit, or Pitching Team row. Pass an entity_id from the matching leaderboard and repeat its type and filters; League rows have no details. Use mlb_discovery for team and game-type values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNoOptional MLB team id from the leaderboard row; omit for no team filter.
typeNoRow group: Cat, Pit, or Pitching Team. League aggregate rows have no detail records.
limitNoRows per page, 1-500; defaults to 100.
splitNoSplit detail rows by season: yes or no. Defaults to no.
offsetNoZero-based row offset, 0-100000.
end_yearNoLast season from start_year through the current season; defaults to current season.
entity_idYesRequired entity id from a Cat, Pit, or Pitching Team row.
game_typeNoGame type: Regular, Playoff, or All. Defaults to Regular.
start_yearNoFirst season from 2018 through the current season; defaults to current season.
with_team_onlyNoWhen filtering Cat or Pit rows to a specific team, include only players on that team: true or false. Defaults to true.

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

A4.4/5.0
Behavior4/5

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 real behavioral context: results are paginated, only Cat/Pit/Pitching Team rows yield records, and League rows produce nothing. No contradictions.

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?

Three tightly packed sentences with zero waste; the core verb and resource scope are front-loaded, followed by the prerequisite and routing hint.

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 no explanation, and the annotations cover safety. The description sufficiently covers input sourcing and the League-row exception for a 10-parameter tool; only minor detail on split/limit behavior is left to the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, and the description adds cross-parameter meaning beyond the schema: entity_id must come from the matching leaderboard and type/filters must be repeated to get consistent results, plus a pointer to mlb_discovery for team and game_type values.

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 paginated play-location events') and a precise resource scope tied to Catcher Blocking leaderboard rows of type Cat, Pit, or Pitching Team. An agent can distinguish this from the parent mlb_statcast_catcher_blocking leaderboard without opening a schema.

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?

Gives a prerequisite (pass an entity_id from the matching leaderboard and repeat its type and filters) and an exclusion (League rows have no detail records), plus a routing hint to mlb_discovery for team and game-type values. It stops short of an explicit when-to-use/when-not alternation but the context is clear.

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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