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i-m-arul

CricketStudio MCP

by i-m-arul

get_dismissal_analysis

Analyze a batter's dismissal patterns in IPL 2026: pace vs spin, powerplay vs death, and common dismissal modes. Returns snapshot data or full breakdown URL.

Instructions

IPL 2026 dismissal pattern analysis for a batter — dismissed by pace vs spin, powerplay vs death, most frequent dismissal modes. Returns available snapshot data or canonical URL for the full breakdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playerSlugYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions returning 'available snapshot data' (implying potential partial data) and a canonical URL, but does not detail permissions, rate limits, or what happens if data is missing. The description is adequate but not fully transparent.

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, using two sentences to convey the tool's purpose, scope, and output. It is front-loaded with the specific analysis dimensions (pace vs spin, powerplay vs death, dismissal modes), making it easy to parse quickly.

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

Completeness4/5

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

Given the tool has only one parameter and no output schema, the description provides sufficient context about the tool's input and output (snapshot data or URL). However, it could briefly mention key fields in the snapshot (e.g., dismissal counts) to help the agent determine if the tool meets its needs.

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?

The only parameter is 'playerSlug', but the description does not explain what a slug is, its format, or how to derive it. With 0% schema description coverage, the description should compensate by providing context, e.g., 'the player's unique slug identifier (e.g., virat-kohli)'. This lack of guidance makes it hard for an agent to correctly invoke the tool.

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's purpose: analyzing dismissal patterns for a batter in IPL 2026, broken down by pace vs spin, powerplay vs death, and dismissal modes. It specifically mentions returning snapshot data or a canonical URL, distinguishing it from sibling tools that focus on other leagues or general stats.

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 explains what the tool does but does not provide explicit guidance on when to use it versus alternatives. It implies it's for batters in IPL 2026, but lacks clear 'when-to-use' or 'when-not-to-use' instructions, nor does it reference sibling tools like 'get_player_profile' or 'get_season_stats'.

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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