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kashrockapi

kashrock-mcp

Official
by kashrockapi

get_player_snapshot

Fetch a single athlete's available prop markets and media links in one request, enabling quick evaluation of betting and DFS options for a given sport.

Instructions

One-shot: media links + slim player-prop groups for a player (agent-friendly).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boardNoall
limitNo
sportYes
playerYes
market_containsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.5

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the output type and 'one-shot', but fails to state whether the operation is read-only, whether authentication is needed, or any limitations/pagination. 'Agent-friendly' is a vague label, not a concrete behavioral trait.

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, efficient sentence with no wasted words. 'One-shot:' front-loads the key value, and 'slim' adds scope, though the structure is minimal rather than fully organized.

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

Completeness2/5

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

With no output schema, no annotations, and 0% schema coverage, the agent is left to guess the response shape and how optional parameters like market_contains behave. The description captures the core idea but omits too many operational details for a 5-parameter tool.

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

Parameters2/5

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, but it only maps to the player parameter ('for a player'). No meaning is given for sport, board, limit, or market_contains, leaving most of the 5-parameter surface undocumented.

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 names a specific resource ('media links + slim player-prop groups for a player') and conveys a single-call snapshot concept. It is clear about what the tool returns, though it lacks an explicit verb and does not explicitly differentiate it from siblings like get_player_props or get_media.

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?

The 'One-shot' phrasing implies a quick overview use case, but there is no explicit statement about when to use this tool over alternatives, nor any when-not-to-use guidance. An agent must infer the appropriate context, which is insufficient among 40+ siblings.

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