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asd-git-master

AltSportsData MCP Server

get_market_catalog

Browse bet types available per league to identify market structures for alternative sports data.

Instructions

Browse the market catalog — what bet types exist for which leagues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leagueNoFilter to a specific league code. Optional.
archetypeNoFilter by archetype (racing, combat, heat_elimination, team_based, precision). Optional.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only offers a high-level purpose. It does not mention read-only nature, filtering behavior, or limitations, leaving behavioral expectations unclear.

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?

A single, well-front-loaded sentence with no redundant information. Every word contributes to understanding the tool's purpose.

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 tool's simplicity, the description provides adequate context but could elaborate on what 'browsing' entails (e.g., returns a list of bet types grouped by league). The presence of an output schema partially compensates.

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?

Input schema has 100% description coverage for both parameters. The description does not add additional meaning beyond the schema's own parameter descriptions, so baseline score of 3 is appropriate.

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 tool browses the market catalog to show bet types per league. It effectively communicates the core functionality, though it does not explicitly differentiate from sibling tools like get_all_markets.

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?

No guidance is provided on when to use this tool versus alternatives like get_all_markets or get_market_probabilities. The description lacks context for optimal usage scenarios.

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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