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ipv4_validate

Validate an IPv4 address and report whether it is private, loopback, link-local or public, with its integer form. Pure CPU, instant.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "ip": "<ip>"
    },
    "name": "ipv4_validate"
  }
}

Input Schema

NameRequiredDescriptionDefault
ipYesIPv4 address

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Changed2 schema fields changed
    • addedInput schema / properties / ip
      Added value: +{
      +  "description": "IPv4 address",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "ip"
      +]
  4. Added

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 burden, and "Pure CPU, instant" is a genuinely useful disclosure that there is no network lookup or side effect. However, it does not say what happens on an invalid input (error vs. a boolean false), which is the key behavioral question for a validator, and there is no output schema to fall back on.

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 short sentences, front-loaded with the action and outputs, with the performance note last. No wasted wording.

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 one-parameter, side-effect-free utility with no output schema, the description usefully enumerates the return categories and the integer form. The only real gap is the invalid-input behavior, which is a minor but noticeable omission for a validation tool.

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% and the single parameter is described as "IPv4 address", so the description adds essentially nothing about the input beyond the schema. Baseline 3 applies when the schema already documents the parameter.

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 ("Validate an IPv4 address") and even enumerates the classification outputs (private, loopback, link-local, public) plus the integer form. That is enough to distinguish it from siblings like geolocate_ip or cidr_calc, though it never names an alternative 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?

Usage is only implied: an agent can infer this is the tool for checking whether a string is a valid IPv4 address and what class it belongs to. There is no explicit when-to-use/when-not, and no pointer to siblings such as geolocate_ip for location data or cidr_calc for subnet math.

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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