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Sports Hub MCP Server

Sports Hub MCP Server

by danmorris27

espn: Get seasons

espn_get_seasons
Read-onlyIdempotent

Retrieve available seasons for a specified sport and league, including season types (preseason, regular, postseason) and date ranges.

Instructions

Get available seasons for a sport/league, including season types (preseason, regular, postseason) and date ranges.

Input Schema

NameRequiredDescriptionDefault
sportYesSport code, e.g. "football", "basketball", "baseball", "hockey", "soccer", "mma", "golf", "tennis", "racing"
fieldsNoKeys to keep (comma-separated).
leagueYesLeague code, e.g. "nfl", "nba", "mlb", "nhl", "wnba", "college-football", "mens-college-basketball", "eng.1", "usa.1", "ufc", "pga", "atp", "f1"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.1

TDQS

B3.4/5.0
Behavior3/5

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 that results include season types and date ranges, which is useful payload context given there is no output schema, but it says nothing about ordering, completeness, or error behavior.

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?

A single front-loaded sentence with no filler; the core action and the returned content are both stated immediately.

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?

With no output schema, the description usefully sketches what comes back (season types, date ranges), and annotations cover safety. For a simple read-only lookup this is nearly sufficient, missing only ordering/pagination and whether the result set can be empty for a valid sport/league pair.

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% and both required codes are documented with examples in the schema itself. The description only restates "for a sport/league" and adds no format, case-sensitivity, or validation detail beyond what the schema provides, so the baseline 3 applies.

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 and resource ("Get available seasons for a sport/league") and even enumerates the returned content (season types, date ranges). It is clear what the tool does, though it never differentiates itself from the several other *_get_seasons siblings (f1_get_seasons, sportsdb_get_seasons, motogp_get_seasons) beyond the espn prefix.

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 when-to-use statement, no alternatives named, no prerequisites. The phrasing implies a discovery/lookup call that precedes season-scoped queries, but that is inference, not guidance.

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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