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Crawlora MCP

mlb_statcast_catcher_stance

Read-only

Fetch Baseball Savant Catcher Stance rows for catchers, catching teams, batters, batting teams, pitchers, or league totals. Filter by seasons, game type, date, pitch/result thresholds, team, pitch type, batter/pitcher hand, knee posture, grouping, local sort, and pagination; use mlb_discovery for exact values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoOptional local row sort field from mlb_discovery.
typeNoOptional table type: catcher, catching-team, batter, batting-team, pitcher, or league. Defaults to catcher.
limitNoOptional rows per page, 1-500; defaults to 100.
teamsNoOptional team ids from mlb_discovery; select one or more.
offsetNoOptional zero-based row offset.
bat_sideNoOptional batter side: L or R.
date_endNoOptional end date in YYYY-MM-DD format.
group_byNoOptional up to four grouping columns from mlb_discovery; use none to disable grouping.
sort_dirNoOptional local sort direction: asc or desc.
game_typeNoOptional game type: Any, Playoff, or Regular.
knee_codeNoOptional knee posture: 9999 (Knee(s) Down), 4 (Both Up), 1 (Both Down), 2 (R Up, L Down), or 3 (L Up, R Down).
date_startNoOptional start date in YYYY-MM-DD format.
pitch_handNoOptional pitcher hand: L or R.
season_endNoOptional last season from 2020 through 2026; defaults to 2026.
min_pitchesNoOptional minimum pitch threshold: q, 100, 250, 500, 750, 1000, 2500, 5000, 7500, 10000, 15000, or 20000.
min_resultsNoOptional minimum result threshold: 1, 25, 50, 100, 250, 500, 750, 1000, 2500, 5000, 7500, 10000, 15000, or 20000.
pitch_typesNoOptional pitch codes from mlb_discovery; select one or more.
season_startNoOptional first season from 2020 through 2026; defaults to 2020.

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 profile is covered. The description usefully discloses the external dependency on mlb_discovery for valid filter values, but says nothing about defaults, pagination limits, or what the returned rows represent beyond the filter list.

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 dense, front-loaded sentences that lead with the resource and end with the discovery pointer. The mid-sentence filter enumeration is a bit list-heavy but every element maps to a real parameter, so 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?

For an 18-param, all-optional read tool with a full output schema and safety annotations, the description covers the resource, entity types, and the mlb_discovery routing hint. An agent has enough to call it correctly; only the cross-sibling differentiation is missing.

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 one of the 18 parameters is already documented in the schema. The description only names filter categories (seasons, game type, knee posture, etc.) without adding syntax or constraints beyond what the schema provides, so baseline 3 applies.

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 ('Baseball Savant Catcher Stance rows') and enumerates the row/entity types the table covers (catchers, catching teams, batters, batting teams, pitchers, league totals). This is enough to distinguish it from the many sibling statcast tables by resource name, though it never explicitly contrasts itself with close siblings like mlb_statcast_catcher_framing.

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?

The one clear routing hint is 'use mlb_discovery for exact values', which tells the agent where to resolve filter values. However, there is no guidance on when to choose this table over the other catcher statcast tools, nor any exclusions or prerequisites.

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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