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i-m-arul

CricketStudio MCP

by i-m-arul

get_ipl_leaderboard

Retrieve IPL leaderboard data for any season or all-time. Choose from 46 aspects like orange cap, purple cap, or strike rate.

Instructions

IPL historical leaderboard from the 18-season Cricsheet corpus (2007/08–2025). 46 aspects: orange-cap, purple-cap, most-sixes, most-fours, strike-rate, economy-leaders, most-fifties, most-hundreds, batting-average, bowling-average, most-dot-balls, dot-ball-pct, boundary-dependency, century-rate, powerplay-economy, death-sr, partnership-stands, opening-stands, partnership-run-rate, 2nd-wicket-stands, 3rd-wicket-stands, and more. Pass season to scope to one year (e.g. "ipl-2024"). Returns canonical URL at /leagues/ipl/leaderboards/{aspect}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoDefault 20, max 100
aspectYesLeaderboard aspect e.g. orange-cap, purple-cap, most-sixes, economy-leaders
seasonNoOptional season slug e.g. ipl-2024 (omit for all-time)
Behavior3/5

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

No annotations provided, so description carries burden. Discloses return of a canonical URL but does not mention output format, side effects, or safety. Adequate but not detailed.

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?

Well-structured, starting with purpose then aspects, usage, and return. The list of 46 aspects is informative but slightly verbose. Could be trimmed without losing value.

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's complexity and lack of output schema, the description covers the main functionality, data source, and parameter usage. Missing only details on output format or API behavior.

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 coverage is 100%, baseline 3. Description adds value by listing many aspects and providing a concrete season example, plus limit defaults. Enhances understanding beyond schema.

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 provides an IPL historical leaderboard from a specific corpus, listing 46 aspects. It distinguishes from sibling tools by mentioning 'IPL' and the data source.

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?

Describes how to scope by season with an example, but does not compare to siblings like get_bbl_leaderboard or get_cross_league_leaders. Lacks explicit guidance on when to use this vs alternatives.

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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