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i-m-arul

CricketStudio MCP

by i-m-arul

get_wpl_player_profile

Retrieve a WPL player's career batting and bowling aggregates with phase splits (powerplay, middle, death) across all seasons.

Instructions

A WPL player's career batting + bowling aggregates across all seasons, with phase splits (powerplay / middle / death). Women's Premier League only. Kebab-case slug e.g. 'smriti-mandhana'. Use search_wpl_players first if you don't have the slug. Do NOT use for men's cricket.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playerSlugYesKebab-case WPL player slug e.g. smriti-mandhana
Behavior4/5

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

With no annotations provided, the description carries full burden. It describes the returned data (batting and bowling aggregates, phase splits, all seasons) and league restriction. It does not disclose auth or rate limits, but for a read-only data retrieval tool, this is sufficient.

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 three sentences with no redundancy. It front-loads the purpose and output, then covers formatting and usage guidance efficiently. Every sentence serves a purpose.

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

Completeness5/5

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

Given the tool's simplicity (one parameter, no nested objects, no output schema), the description is complete. It explains what data is returned, how to use the slug, and when to use an alternative tool. No gaps.

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

Parameters4/5

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

Schema description coverage is 100% for the single parameter. The description adds value by providing an example of the expected format ('smriti-mandhana') and clarifying it's kebab-case, which goes beyond the schema's description.

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 career batting and bowling aggregates with phase splits for WPL players, specifying league and slug format. It distinguishes from siblings by explicitly limiting to Women's Premier League and warning against men's cricket.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use the tool (if you have the slug) and when not (for men's cricket), and directs users to search_wpl_players as an alternative when the slug is unknown.

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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