IPI Provisioner MCP Server

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by redhat-community-ai-tools

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Python

Local

parse_bmc_address

Parse and validate BMC addresses to extract protocol, host, and port for use in cluster provisioning.

Instructions

Parse and validate BMC address format.

Args: bmc_address: BMC address (e.g., 'redfish://192.168.1.100:443')

Returns: Parsed BMC address components

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": {
      "bmc_address": "<bmc_address>"
    },
    "name": "parse_bmc_address"
  }
}

Input Schema

Name	Required	Description	Default
`bmc_address`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Aug 10, 2026

TDQS

A3.8/5.0

Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It states the tool parses and validates, but gives no details on failure behavior (e.g., errors on invalid format), side effects, or any constraints. The return description is vague ('Parsed BMC address components') and does not clarify how validation failures are surfaced.

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 and well-structured with Args/Returns sections. It is front-loaded with the purpose and every sentence adds value—no filler or repetition of the tool name.

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 tool's simplicity (single parameter) and the presence of an output schema, the description adequately covers the essentials. It includes a usage example and a high-level return summary. It could be more complete with explicit error handling info, but the output schema likely covers return component details.

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

Parameters4/5

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

Schema description coverage is 0%, but the description compensates with an Args section that names the parameter and gives a concrete example ('redfish://192.168.1.100:443'), adding meaning beyond the schema's bare string type. However, it does not enumerate all possible accepted formats or the exact components returned.

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 tool 'Parse and validate BMC address format', with a specific verb and resource. It distinguishes from siblings like validate_bmc_addresses by focusing on parsing a single address, and the example 'redfish://192.168.1.100:443' sets clear scope.

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?

The description implies usage by showing an example of a BMC address and stating a parse/validate action, but it does not explicitly state when to choose this over sibling tools like validate_bmc_addresses or test_bmc_connection. No exclusions or alternatives are mentioned.

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