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asd-git-master

AltSportsLeagues MCP Server

get_league_context

Retrieve complete intelligence on a league including profile, scores, valuations, and data coverage analysis for deep evaluation.

Instructions

Assemble the complete intelligence context for a league.

This is the primary "tell me everything" tool. Pulls the full league record, scores, recent valuation snapshots, and computes a scraped-vs- verified data coverage analysis. Returns all data needed for deep reasoning about a league's current state, readiness, and potential.

Includes: core profile, all scores, enrichment data, sport archetype, tier, onboarding stage, discovery classification, verification status, and the last 4 valuation snapshots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
league_idYesUUID of the league.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It explains what data is returned and that it 'computes' analysis, but does not disclose whether it is read-only, has side effects, or any authentication requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with a clear one-liner and uses bullets for detail. It is concise relative to the information conveyed, though slightly verbose due to enumeration of data points.

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?

Given the existence of an output schema and numerous sibling tools, the description provides a thorough list of included data and computes a specific analysis, making it complete for a comprehensive retrieval tool.

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?

The input schema has one parameter (league_id) with 100% description coverage, so baseline is 3. The tool description explains the tool's purpose but adds no additional semantic detail about the parameter.

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 'Assemble the complete intelligence context for a league' and identifies itself as the 'primary tell me everything tool', effectively differentiating from more specific sibling tools.

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

Usage Guidelines4/5

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

The description positions this as the primary comprehensive tool, implying it should be used for broad context retrieval. However, it does not explicitly mention when to use alternatives or when not to use this tool.

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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