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tohoanganhai

GoalGorithm MCP Server

by tohoanganhai

list_leagues

Retrieve all supported soccer leagues with their IDs and slugs for accessing match predictions and statistics.

Instructions

List all supported soccer leagues with IDs and slugs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden. It describes the output format ('IDs and slugs') but does not disclose behavioral traits such as rate limits, authentication needs, or whether the list is static or dynamic. The description is accurate but lacks operational context.

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, front-loaded sentence that directly states the tool's function and output. Every word earns its place with no redundancy or waste, making it highly efficient and easy to understand.

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 tool's simplicity (0 parameters, no annotations, but with an output schema), the description is complete enough for a list operation. It specifies the resource and output format, and the output schema will handle return values, so no additional detail is needed for basic functionality.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, and schema description coverage is 100%. The description does not need to add parameter semantics, so a baseline of 4 is appropriate as it efficiently states the tool's purpose without unnecessary parameter details.

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 ('List') and resource ('all supported soccer leagues'), specifying what information is returned ('with IDs and slugs'). It distinguishes from sibling tools like 'get_league_table' (which focuses on standings) and 'predict_match' (which focuses on match predictions).

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 for retrieving league metadata, but does not explicitly state when to use this tool versus alternatives like 'get_league_table' for standings or 'predict_match' for predictions. No exclusions or prerequisites are mentioned, leaving usage context somewhat open-ended.

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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