Skip to main content
Glama
DanielTomaro13

sportsdata-mcp

mlb_team_alumni

Retrieve former players (alumni) for an MLB team in a given season, optionally filtered by hitting, pitching, or fielding group.

Instructions

Former players (alumni) for a team in a season + group (hitting/pitching/fielding).

Returns: {people:[{id, fullName, primaryPosition, mlbDebutDate}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupNohitting
seasonYes
teamIdYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses the return format (array of people with specific fields) but does not mention whether it is read-only, authentication needs, rate limits, data freshness, or error behavior. The behavioral context is minimal.

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 a single focused sentence followed by the return structure. Every part provides essential information, no wasted words. It is front-loaded and easy to parse.

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?

Given three parameters and no output schema, the description covers the return structure and core parameters. However, it lacks details on parameter formats, optionality, and potential limitations. It is adequate but not exhaustive.

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?

With 0% schema description coverage, the description adds value by explaining that 'group' accepts hitting/pitching/fielding and defaults to hitting. However, it does not clarify the format of 'season' (e.g., integer year) or 'teamId' beyond the schema property names.

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 returns former players (alumni) for a specific team in a season, optionally grouped by hitting/pitching/fielding. It effectively distinguishes from sibling tools like mlb_team_roster (current players) and mlb_player (single player) by focusing on alumni.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives such as mlb_team_roster or mlb_player_search. The description does not mention prerequisites, context, or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DanielTomaro13/sportsdata-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server