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DanielTomaro13

sportsdata-mcp

mlb_seasons_all

Read-onlyIdempotent

Retrieve complete list of every MLB season with start/end dates for regular season, preseason, and wildcard info. Get historical season details for any year.

Instructions

Every season in MLB history (151+) with key dates — the /seasons/all catalogue. (Plain /seasons only returns the current season; an ?all=true query there is a no-op.)

Returns: {seasons:[{seasonId, regularSeasonStartDate, regularSeasonEndDate, seasonStartDate, seasonEndDate, preSeasonStartDate, qualifierPlateAppearances, hasWildcard}]}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportIdNoSport id (1 = MLB).
leagueIdNoFilter by league (103=AL, 104=NL).
divisionIdNoFilter by division.
Behavior4/5

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

Annotations already cover read-only/idempotent behavior. The description adds valuable context: auth not needed, full historical scope (151+), and a concrete return shape. This goes beyond the annotations without contradicting them.

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 compact and front-loaded with the core purpose. Every sentence serves a purpose: scope, sibling distinction, return shape, and auth. 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?

For a simple read-only catalogue with optional filters, this description is complete. It includes the API endpoint identity, return schema, auth info, and the key differentiator from the sibling tool. Nothing essential 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 the schema already documents all three parameters (sportId, leagueId, divisionId) with clear descriptions. The tool description adds no additional parameter-level meaning, so the baseline 3 is appropriate.

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 the tool lists every MLB season with key dates (151+), and explicitly distinguishes it from the plain /seasons endpoint that returns only the current season. This makes the purpose and scope unambiguous.

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

Usage Guidelines5/5

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

The description provides explicit comparison to the sibling tool: 'Plain /seasons only returns the current season; an ?all=true query there is a no-op.' This tells the agent exactly when to choose this tool over the alternative.

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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