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Nutanix MCP Server

Nutanix MCP Server

by jkmills
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

generate_cluster_report

Generate as-built reports for Nutanix clusters covering configuration, hosts, storage, VMs, and networking, with an architecture diagram.

Instructions

Generate a detailed As-Built report for one or more Nutanix clusters. Covers cluster configuration, hosts, storage containers, VMs, and networking. Returns Markdown with an Excalidraw cluster architecture diagram.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "generate_cluster_report"
  }
}

Input Schema

NameRequiredDescriptionDefault
cluster_uuidsNoList of cluster UUIDs to report on. If empty, reports on all clusters.
include_diagramNoInclude Excalidraw cluster diagram JSON (default: true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the tool generates a report and returns Markdown/diagram, but does not indicate whether it modifies state, requires permissions, or has performance implications. Key behavior is missing.

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 two sentences long, front-loaded with the purpose in the first sentence, and no extraneous information. Every word earns its place.

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?

Given the low complexity (2 params, full schema coverage, no output schema), the description covers the purpose, content, and output format well. However, it lacks behavioral context like read-only indication, which would push completeness to 5.

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 description coverage is 100%, so the input schema already explains both parameters well. The description does not add significant meaning beyond what is in the schema, hence baseline 3.

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 explicitly states the tool generates an 'As-Built report' for Nutanix clusters, lists specific content areas (cluster configuration, hosts, etc.), and specifies the output format (Markdown with Excalidraw diagram). This clearly distinguishes it from sibling tools like generate_environment_report and generate_vm_report.

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

Usage Guidelines2/5

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

The description does not provide when to use this tool, alternatives, or prerequisites. No guidance on scenarios or when not to use it is given, leaving the agent to infer usage from the tool's name and purpose alone.

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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