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Glama

Predict Win or Lose

icare_bet

Place Win/Lose predictions on open esports matches, using your portfolio balance or paying the stake plus x402 gasless USDC network fees.

Instructions

Place a Win/Lose prediction on an open match. Uses the agent Portfolio balance when it covers the stake + 0.10 USDC, otherwise pays the stake + 0.20 USDC network fees over x402 (gasless USDC authorization).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideYeswin = the streamer wins this game
matchIdYes
stakeUsdcYesStake in USDC, 1 to 50

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose genuinely useful mechanics: Portfolio balance is drawn first, the 0.10 USDC buffer is required, otherwise a 0.20 USDC network fee applies over x402 gasless authorization. However, it says nothing about irreversibility, whether the stake is locked until resolution, or what happens if the match closes mid-bet.

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?

Two sentences, zero filler, front-loaded with the action and followed by the payment mechanics. Every clause carries information the agent needs before invoking the tool.

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?

For a mutation tool with no annotations and no output schema, the description covers the hardest unknown (dual payment path, fee amounts, gasless authorization) well. It is slightly thin on outcome expectations and irreversibility, but an agent has enough to call it correctly.

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 67%; side and stakeUsdc are documented in the schema (including the 1-50 range), while matchId has no description anywhere. The description adds fee/balance context around stakeUsdc but does not explain matchId format or what 'open match' means for parameter validity, so the 3 baseline applies.

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?

The description opens with a specific verb+resource: 'Place a Win/Lose prediction on an open match', which immediately separates it from icare_wallet, icare_positions, and icare_season. It does not explicitly contrast with the nearest sibling, icare_sell (exiting a position vs. opening a bet), so it stops short of full sibling differentiation.

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?

Usage is implied through the precondition 'on an open match' and the payment-routing rules, but there is no explicit when-to-use guidance and no named alternative (e.g., use icare_live_matches to find an open match, icare_positions to view existing bets). The agent must infer the workflow.

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