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DanielTomaro13

sportsdata-mcp

mlb_team

Read-onlyIdempotent

Retrieve a single MLB team's details by ID, including name, league, division, venue, colors, and founding year. Ideal for quick team data lookup.

Instructions

Single team detail by id — name, league/division, venue, colours, founding.

Returns: {teams:[{id, name, abbreviation, league, division, venue, locationName, firstYearOfPlay}]}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seasonNoSeason year.
teamIdYesTeam id. Required — part of the URL path.
hydrateNoEmbed related objects (e.g. 'venue,league,division,social').
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds explicit auth requirements ('Auth: none needed') and the return data structure, which is useful behavioral context beyond the annotations.

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 extremely concise (three short segments), front-loads the core purpose, and includes both return format and auth in a compact, scannable structure. No wasted words.

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

Completeness5/5

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

The combination of a simple tool, full schema coverage, and the description's inclusion of return format and auth makes the description fully sufficient. There is no output schema, but the description provides the needed return details, so completeness is high.

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 the schema already documents all three parameters. The description adds little beyond confirming the teamId is the key lookup, which gives it baseline credit but no extra semantic value.

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?

Description uses a specific verb pattern ('Single team detail by id') and clearly identifies the resource (team) and scope (by id), distinguishing it from plural or roster-focused sibling tools. It lists the attributes returned, making the purpose unambiguous.

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 description implies usage when you have a team id but does not explicitly state when to use this tool versus alternatives like mlb_teams or mlb_team_roster. No alternative tools are mentioned, so guidance is only implied.

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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