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asd-git-master

AltSportsLeagues MCP Server

generate_fingerprint

Create a multi-dimensional DNA profile capturing a league's sport archetype, data coverage, market positioning, fan demographics, and competitive landscape for similarity search and clustering.

Instructions

Generate a unique fingerprint profile for a league.

Creates a multi-dimensional DNA profile capturing the league's sport archetype characteristics, data coverage, market positioning, fan demographics, operational maturity, and competitive landscape. The fingerprint enables similarity search and clustering.

Set force=True to regenerate even if a fingerprint already exists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
league_idYesUUID of the league to fingerprint.
forceNoIf True, regenerate the fingerprint from scratch.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description carries full burden. Fails to disclose whether this is a read or write operation, what happens if a fingerprint exists and force=false (idempotent vs. error), or side effects (e.g., database updates). This ambiguity limits transparency.

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?

Four sentences without wasted words. First sentence states purpose, second lists components, third explains purpose (similarity), fourth gives usage hint. Could be slightly more structured, but efficient.

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?

Explanation of what the fingerprint captures and its purpose is adequate. Missing prerequisites (e.g., league existence), error conditions, and idempotency behavior. Output schema exists, so return format is covered, but behavioral gaps lower completeness.

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%, so baseline is 3. Description adds context for 'force' parameter ('even if a fingerprint already exists') beyond the schema's description, but adds nothing for 'league_id'. Minimal added meaning overall.

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 tool generates a unique fingerprint profile for a league, listing specific characteristics (sport archetype, data coverage, market positioning, etc.). It distinguishes from siblings like get_fingerprint (retrieve) and compare_leagues (compare) by focusing on creation and regeneration.

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?

Provides guidance on the force parameter ('Set force=True to regenerate even if a fingerprint already exists'), clarifying when to use it. However, does not explicitly state when to use this tool versus get_fingerprint or other alternatives, leaving some implied usage.

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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