Skip to main content
Glama

coin

Flip one or more fair coins using a cryptographic random source. Returns each result and the totals. Use for fair decisions and games. Costs $0.001 in USDC on Base per successful call, paid with x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoHow many coins (1-100, default 1)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false), so the bar is lower. The description adds genuinely non-structured context: the cryptographic fairness guarantee, the return shape, and notably the $0.001 USDC/Base x402 payment cost per successful call. That cost/payment detail is material behavioral information an agent needs.

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?

Three short sentences, front-loaded with what it does, then returns, then cost. No filler; each sentence carries distinct information.

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?

No output schema exists, and the description compensates by stating the return value ('each result and the totals'). Combined with the cost disclosure and full param coverage, it is nearly complete; only the exact result representation (e.g. heads/tails encoding) is unspecified.

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 a single, fully documented 'count' parameter (1-100, default 1). The description only restates 'one or more' coins and adds no format or range detail beyond the schema, so baseline 3 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?

States a specific verb and resource ('Flip one or more fair coins') and even names the mechanism ('cryptographic random source'), which distinguishes it from deterministic siblings. It does not explicitly name the nearest alternatives (dice, random_number, yes-no), 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?

'Use for fair decisions and games' gives implied usage context, but there is no when-not guidance and no reference to alternatives like dice or random_number for related randomness needs. Adequate but leaves routing to inference.

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