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devtools_deploy_sno

Provision a Single Node OpenShift cluster on bare metal for RHOSO installation. Requires valid BMC credentials and explicit confirmation to prevent accidental destructive provisioning.

Instructions

Deploy Single Node OpenShift via dev-tools make deploy_sno.

TOOL_NAME=devtools_deploy_sno DISPLAY_NAME=Deploy Single Node OpenShift USECASE=Provision the SNO cluster RHOSO installs on. DESTRUCTIVE (bare metal). INSTRUCTIONS=1) Ensure configs/sno.local.sh is set. 2) Call with confirm=true. INPUT_DESCRIPTION=confirm (bool) — must be true; guards against accidental provisioning OUTPUT_DESCRIPTION=status, stdout, stderr, exit_code EXAMPLES=devtools_deploy_sno(confirm=True) PREREQUISITES=Valid BMC creds + configs/sno.local.sh RELATED_TOOLS=devtools_validate_config, devtools_show_kubeconfig

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden and does well by flagging 'DESTRUCTIVE (bare metal)' and explaining that confirm=true guards against accidental provisioning. It could go further by spelling out the exact destructive effects on the bare-metal host, but the core risk is clearly disclosed.

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

Conciseness4/5

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

The description is fairly compact and front-loaded with the purpose, followed by structured metadata lines that each carry useful information. Minor redundancy exists (TOOL_NAME, DISPLAY_NAME, and the tool name in the first sentence), but it does not impair readability.

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?

The definition includes use case, prerequisites, exact call instructions, input semantics, output fields, an example, and related tools. For a one-parameter tool with an existing output schema and no annotations, this is more than enough for an agent to select and invoke it safely.

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?

Schema coverage is 0%, so the description must define the single parameter. It does: 'confirm (bool) — must be true; guards against accidental provisioning', plus instruction 'Call with confirm=true'. This is essential semantic information beyond the plain boolean 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 opens with 'Deploy Single Node OpenShift via dev-tools make deploy_sno', naming a specific verb, resource, and mechanism. The USECASE line further clarifies that this provisions the SNO cluster RHOSO installs on, distinguishing it from the many OpenShift-related sibling tools.

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?

USECASE gives clear context for when this tool is appropriate: provisioning the SNO cluster for RHOSO. INSTRUCTIONS and PREREQUISITES provide practical call conditions, though it does not explicitly contrast against alternatives or state when not to use it.

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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