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services_networks_ipv4_get_list

Read-onlyIdempotent

Retrieve the IPv4 networks assigned to a specific service by providing its service ID, enabling network configuration checks.

Instructions

Services networks ipv4 get list GET /services/{serviceId}/networks/ipv4

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": {
      "serviceId": "<serviceId>"
    },
    "name": "services_networks_ipv4_get_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
serviceIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

D1.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered externally. The description adds essentially nothing beyond that: it does not say whether results are paginated, whether an empty list is a valid answer, or what the response contains. The only extra signal is the HTTP verb, which merely duplicates readOnlyHint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short with no filler sentences, and the endpoint line is front-loaded after the title. However, the first line is pure name restatement, so the brevity comes from omission rather than efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one required parameter, no output schema, no nested objects), which lowers the bar, but the description still leaves the agent without a stated return shape or any scoping detail. For a list endpoint whose results an agent must act on, two lines of name-plus-path are not enough.

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 description coverage is 0% for the single required parameter, so the description carries the full burden. The endpoint template shows serviceId appearing as a path segment, which weakly implies it identifies the parent service, but neither its type, format, nor where to obtain a valid ID is explained. This is a marginal improvement over an undocumented number.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name ("Services networks ipv4 get list") and appends the raw endpoint "GET /services/{serviceId}/networks/ipv4". The endpoint does tell an agent this is a read of IPv4 networks scoped to a service, but the prose itself is a tautology rather than a stated verb+resource with scope, and it never distinguishes itself from siblings such as services_networks_ipv6_get_list or services_networks_ipv4_get_price.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no precondition, and no mention of alternatives. The agent is left to infer from the sibling names alone that this lists existing IPv4 networks rather than buying, changing, or pricing one, which is exactly the inference the description should have supported.

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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