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Money Reactor

gen_random

Paid $0.10 (x402, USDC Base): CSPRNG random integers [min,max] or fair pick from list. Args: min, max, n, from (comma list).

Input Schema

NameRequiredDescriptionDefault
nNo
maxNo
minNo
fromNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations, so the description carries the full burden. It usefully discloses a payment requirement ($0.10 via x402, USDC Base) and quality guarantees (CSPRNG, fair pick), which are real behavioral context. However it omits mutual exclusivity of min/max vs from, defaults for n, and failure behavior when args are missing (all params are optional).

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?

Compact and front-loaded: cost first, then purpose, then args. Every phrase earns its place, though the args list is somewhat terse and the payment prefix could be mistaken for the primary purpose.

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?

Covers purpose, cost, and randomness quality, which is enough to attempt a call. But with no output schema and all-optional parameters, the description should clarify return shape (single value vs array of n) and how min/max and from combine.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate. The '[min,max]' notation and 'from (comma list)' do add format meaning for those params, but 'n' is never explained (count?) and default/exclusivity rules are absent. It largely restates parameter names.

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?

States a specific verb and resource (generate CSPRNG random integers, or fair pick from list) with clear output types. It's distinguishable from siblings like gen_uuid, gen_password, and gen_lorem without opening any schema.

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 by the described outputs (integer ranges vs. list picks), but there is no explicit guidance on when to use this over gen_uuid/gen_password or how the two modes interact. No exclusions or alternatives are named.

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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