Skip to main content
Glama

cricket_get_squad

Read-onlyIdempotent

Retrieve the squad roster for any cricket team. Optionally specify a series ID to get the tournament-specific lineup, including player names, roles, and credits.

Instructions

Return the squad roster for a cricket team, optionally for a specific series.

Args: team: Team code or name (e.g. "MI", "CSK", "IND", "AUS"). series_id: Optional. Series ID to pull the tournament-specific squad. If omitted, falls back to static seed data.

Returns: data.players: list of players with name, role, and credits. meta.source: adapter that served the data (cricapi / static_seed).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamYesTeam code or name (e.g. "MI", "CSK", "IND", "AUS").
series_idNoOptional. Series ID to pull the tournament-specific squad. If omitted, falls back to static seed data.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo
Behavior4/5

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

Annotations already declare read-only, idempotent, open-world. Description adds return format (players with fields, meta.source) and fallback logic, exceeding annotation detail.

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?

Well-structured with Args, Returns, bullet points; no redundant sentences.

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 output schema exists and sibling tools cover other aspects, description fully explains squad retrieval without missing details.

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% but description adds context like 'static seed data' fallback, enhancing 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?

Clear verb 'return' with resource 'squad roster', distinguishes from sibling tools like get_live_matches or get_scorecard.

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

Usage Guidelines4/5

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

States required and optional parameters, explains fallback behavior, but doesn't explicitly guide when to use vs alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ninjabeam20/SportIQ-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server