Skip to main content
Glama

random_teams

Split a list of names into a given number of random, evenly sized teams. Use for games, workshops and classrooms. Costs $0.001 in USDC on Base per successful call, paid with x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesComma-separated names
teamsNoNumber of teams (default 2)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (destructiveHint=false, idempotentHint=false, openWorldHint=true), so the bar is lower. The description adds genuinely new behavioral context beyond annotations: a $0.001 USDC charge on Base via x402, billed only per successful call. It does not disclose failure/payment-failure behavior or the shape of the returned team grouping.

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?

Three short sentences, front-loaded with the core action, then usage context, then cost. Every sentence carries information, though "Use for games, workshops and classrooms" is the weakest and borders on filler.

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

Completeness3/5

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

With no output schema, the description carries the burden of explaining what comes back — the team structure, ordering, and how the remainder is distributed — and it says none of this. For a paid, open-world call, payment failure semantics are also unaddressed.

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

Parameters3/5

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

Schema coverage is 100%, with both parameters described in-schema, so baseline is 3. The description adds only the behavioral note that teams are evenly sized; it does not address edge cases such as requesting more teams than there are names, nor explains why the schema permits an enormous negative minimum for the team count.

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?

States a specific verb and resource: split a list of names into N random, evenly sized teams. An agent can immediately tell this apart from random_pick (selects one item) and random_shuffle (reorders a list) on resource grounds, though it never names those siblings explicitly.

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?

"Use for games, workshops and classrooms" gives implied usage context but no explicit when-not-to-use condition and no routing to random_shuffle or random_pick, which are the closest alternatives. Adequate but leaves the agent to infer the boundary.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources