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piyushladhar

iotamine-mcp

by piyushladhar

purchase_ip

Purchase one or more standalone IP addresses in a region, up to 20 per request. This incurs an ongoing monthly charge, and confirmation is required.

Instructions

Purchase one or more new standalone IP addresses in a region (Point of Presence id from list_regions). At most 20 at a time. This is an ONGOING monthly charge, not a one-time fee — see check_available_ips's own monthly_price before quoting a cost, and make that recurring nature clear to the user, not just the number. Spends real money (checked against balance and quota) — requires confirm=true. Synchronous — the purchased addresses are returned directly, no task to poll.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
popYes
confirmNo
quantityYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4.8/5.0
Behavior5/5

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

The description goes well beyond the annotations, disclosing that this is an ongoing monthly charge, spends real money, is checked against balance and quota, requires confirm=true, and returns purchased addresses directly. This is exactly the kind of cost and side-effect transparency an agent needs for a purchase action.

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?

The description is compact yet information-dense, with each sentence adding a distinct piece of critical guidance: what, where, max quantity, cost type, confirmation requirement, and return behavior. It is front-loaded with the purpose and then covers constraints efficiently.

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 the absence of an output schema, the description appropriately states that purchased addresses are returned directly. It also covers prerequisites, limits, recurring cost, balance/quota checks, and confirmation, making it complete for safe and correct invocation.

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

Parameters5/5

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

With 0% schema description coverage, the description carries the full burden for parameters, and it succeeds: pop is explained as a Point of Presence id from list_regions, quantity is defined as one or more up to 20, and confirm is stated as required to be true. This adds substantial meaning beyond the bare 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?

The description clearly states the action ('Purchase'), the resource ('new standalone IP addresses'), and the scope ('in a region'). It also distinguishes this tool from siblings by emphasizing 'standalone' and 'new', and references list_regions and check_available_ips for required context.

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?

The description gives clear usage context: prerequisites (pop from list_regions, pricing from check_available_ips), constraints (at most 20, confirm=true), and behavior (synchronous, no task to poll). It does not explicitly name alternative tools for when not to use it, but the 'standalone' qualifier makes the intended use case clear.

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