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seang1121

Sports Betting MCP

get_top_pick

Retrieve the top-rated betting pick for today based on high-confidence analysis. Filter by sport (NBA, NHL, NCAAB, MLB) or view all.

Instructions

Get the single highest-confidence pick available today.

Args: sport: Filter by sport — 'nba', 'nhl', 'ncaab', 'mlb', or 'all' (default)

Returns: The best pick with full analysis details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportNoall
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It discloses that the tool returns the best pick with analysis details, indicating a read operation. However, it lacks information on caching, freshness, or required permissions, which is acceptable for a simple tool but not thorough.

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 concise, with the core purpose in the first line followed by a succinct parameter and return value explanation. No extraneous information is present.

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 simplicity of the tool (1 optional parameter, no output schema), the description is minimally adequate. It explains the parameter and return type at a high level but lacks details on the returned pick structure or analysis format. For a tool this straightforward, it suffices.

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

Parameters5/5

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

The description adds essential meaning to the sole parameter 'sport', listing allowed values ('nba', 'nhl', 'ncaab', 'mlb', 'all') and the default 'all'. This compensates for the 0% schema coverage completely.

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 retrieves the single highest-confidence pick available today. The verb 'Get' and resource 'the single highest-confidence pick' are specific, and it distinguishes from sibling 'get_todays_picks' which likely returns multiple picks.

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 obtaining the top pick, but does not explicitly state when to use this tool versus alternatives like get_todays_picks or analyze_game. No guidance on exclusions or prerequisites is provided.

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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