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kashrockapi

kashrock-mcp

Official
by kashrockapi

get_gaps

Compare DFS book-vs-book line gaps for the same player, event, and market to identify pricing discrepancies and betting opportunities.

Instructions

DFS book-vs-book line spreads for the same player/event/market (Hobby+).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bookNo
limitNo
sportYes
marketNo
offsetNo
playerNo
min_gapNo
market_containsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.5

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It states only the basic operation and offers no details on authentication, rate limits, return format, pagination behavior, or side effects. The read-only nature is implied but not stated.

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 a single concise sentence with no wasted words, front-loading the core purpose. It is appropriately brief for a simple tool, though given the parameter complexity it could be slightly more detailed without losing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 8 parameters, no output schema, and no annotations, the description is grossly incomplete. It lacks information on return values, filtering options, pagination, and the meaning of specialized terms. An agent would struggle to call it correctly without external knowledge.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate. It fails to explain any of the 8 parameters, including min_gap, market_contains, offset, or book. It mentions 'player/event/market' generically but does not map to the schema fields, adding no semantic value.

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 identifies the resource (DFS book-vs-book line spreads) and the operation (get gaps for same player/event/market). It distinguishes from sibling line tools like get_lines or get_best_lines by focusing on gaps between books, though niche terms like 'DFS' and 'Hobby+' are not explained.

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. Sibling tools such as get_lines, get_best_lines, and get_lines_history exist, but the description does not differentiate usage scenarios or mention any conditions for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.