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lacausecrypto

Sports Hub MCP Server

sportsdb_get_standings

Retrieve league table or standings for a specific league and season using the league ID and season string.

Instructions

Get league table / standings for a given league and season.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
league_idYesTheSportsDB league ID
seasonYesSeason string (e.g. '2023-2024' or '2024')
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Get' which implies a read operation but offers no details about return format, pagination, authentication, or any limitations. The description is insufficient for an agent to understand side effects or constraints.

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 concise sentence that directly states the tool's purpose without extraneous information. It is appropriately sized for a simple read operation.

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 the low complexity (2 simple parameters, no output schema), the description is minimally adequate. However, it does not explain the return structure or any additional context like data freshness or regional availability, leaving some gaps for an agent.

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?

Both parameters (league_id, season) have descriptions in the input schema, achieving 100% coverage. The description adds no additional meaning beyond what the schema already provides, so it meets the baseline with no extra value.

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?

The description clearly states the verb 'Get' and the resource 'league table / standings', and it specifies the required parameters (league and season). However, it does not explicitly differentiate itself from sibling tools like espn_get_standings or mlb_get_standings, which serve similar purposes for different data sources.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, use cases, or exclusions, leaving the agent without direction on tool selection.

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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