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lacausecrypto

Sports Hub MCP Server

espn_get_standings

Get league standings with team records, win/loss, and ranking info. Supports major sports leagues like NFL, NBA, MLB, NHL, and college sports.

Instructions

Get league standings. Returns conference/division standings with team records, win/loss, and ranking info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportYesSport code, e.g. "football", "basketball", "baseball", "hockey", "soccer", "mma", "golf", "tennis", "racing"
leagueYesLeague code, e.g. "nfl", "nba", "mlb", "nhl", "wnba", "college-football", "mens-college-basketball", "eng.1", "usa.1", "ufc", "pga", "atp", "f1"
seasonNoSeason year (e.g. "2024")
groupNoGroup, conference, or division filter ID
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It implies a read operation but does not mention data freshness, rate limits, authentication needs, or any limitations. It adds basic context but lacks depth.

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?

Two sentences convey the core purpose and output content without unnecessary words. Every sentence earns its place, and the information is front-loaded.

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?

Given the absence of an output schema, the description gives a reasonable overview of return values (records, win/loss, ranking). However, it could briefly mention the structure (e.g., 'returns an array of standings objects') to be more complete. Still, it's adequate for quick understanding.

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 coverage is 100%, and the description adds no extra meaning beyond what the schema already provides. For instance, 'group' is described in the schema as a filter ID; the description only paraphrases 'conference/division' without new details. 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 verb 'Get', the resource 'league standings', and specifies the content: 'conference/division standings with team records, win/loss, and ranking info'. It is specific and distinguishes this tool from siblings like espn_get_scoreboard or espn_get_team_details.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention when not to use it or provide context like complementary tools. The description only states what it does, not when it's appropriate.

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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