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Crawlora MCP

mlb_prospect_stats

Read-only

Fetch MLB Pipeline prospect stats and rankings from its live Top 100, all-prospect, or team prospect tables. Filter by batter or pitcher, date range, minimum PA, position, player name, and pagination; use mlb_discovery for the accepted periods, thresholds, and positions, and mlb_teams for team ids.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoOptional case-insensitive player-name substring.
limitNoOptional number of rows to return, 1-100; defaults to 100.
min_paNoOptional minimum plate appearances/pitching threshold: 1, 5, 10, 25, 50, 100, 150, 200, or 250.
offsetNoOptional zero-based result offset.
team_idNoOptional MLB team id; returns that team's prospect list.
positionNoOptional position filter: 1b, 2b, ss, 3b, c, of, rhp, or lhp.
list_typeNoOptional prospect pool: top100 (default) or all. Ignored when team_id is set.
date_rangeNoOptional period from mlb_discovery, such as Year2026 or 30day.
player_typeNoOptional batters or pitchers; defaults to batters.

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

A3.8/5.0
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 data is 'live' and comes from three named prospect tables, but discloses nothing about pagination limits, rate limits, or ordering. 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 dense sentences with no filler, and the primary capability is front-loaded before the routing hints. The second clause packs three separate pointers but stays readable.

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. For a 9-parameter, all-optional filtering tool with full schema coverage, the description supplies the routing needed to populate valid values and the data sources; only sibling disambiguation is missing.

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 the baseline is 3, but the description adds value by grouping the filter dimensions (batter/pitcher, date range, min PA, position, player name, pagination) and pointing at mlb_discovery for accepted values. Since the schema has zero enums, that cross-tool pointer for valid values is genuinely useful beyond the schema text.

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 ('MLB Pipeline prospect stats and rankings') with the source tables (Top 100, all-prospect, team prospect) named, which is concrete. However it does not distinguish itself from the near-identical sibling mlb_prospect_rankings, which it even echoes with the word 'rankings'.

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?

Explicitly routes the agent to helpers: 'use mlb_discovery for the accepted periods, thresholds, and positions, and mlb_teams for team ids,' which tells the agent how to obtain valid inputs. It gives no when-not-to-use guidance relative to mlb_prospect_rankings or mlb_player_stats, so it falls short of a full 5.

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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