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joshuarichard

StatsPlus MCP Server

get_player_pitching_stats

Retrieve player pitching statistics with customizable splits (overall, vs left, vs right). Filter by year, player, or league ID including minor leagues.

Instructions

Retrieve player pitching statistics. Returns stat lines with splits. Defaults to top-level (MLB) leagues; pass lid to get stats for a specific league (e.g. minor leagues). Omit all params to get all players for all seasons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoSeason year, e.g. 2024
pidNoPlayer ID for a single player
splitNoSplit ID: 1 = Overall, 2 = vs Left-handed, 3 = vs Right-handed
lidNoLeague ID — defaults to all top-level leagues; pass a specific league ID to get minor league stats
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It mentions returns stat lines with splits and defaults, but does not disclose error handling, rate limits, data freshness, or what happens with invalid inputs. This is adequate but not thorough.

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?

The description is two sentences long, front-loaded with the main action, and contains no redundant information. Every sentence adds useful context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 optional parameters and no output schema. The description covers default behavior and lid usage, but lacks information on return format, pagination, error codes, or performance implications. For a data retrieval tool, more completeness would be beneficial.

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?

The input schema has 100% coverage with descriptions for each parameter. The description adds value by explaining the default behavior of lid (top-level leagues) and the effect of omitting all params (all players all seasons). This improves understanding beyond the schema.

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?

The description clearly states it retrieves player pitching statistics and returns stat lines with splits. This distinguishes it from sibling tools like get_player_batting_stats and get_player_fielding_stats.

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?

The description explains default behavior (top-level leagues) and how to use lid for specific leagues, including minor leagues. It also tells users what happens when all params are omitted. However, it does not explicitly state when not to use this tool or mention alternatives.

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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