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devtools_configure_openshift_gitops

Grant ArgoCD cluster-wide permissions and TLS configuration required by RHOSO. Confirm to apply the cluster modifications.

Instructions

Configure ArgoCD with cluster-wide permissions and TLS.

TOOL_NAME=devtools_configure_openshift_gitops DISPLAY_NAME=Configure OpenShift GitOps USECASE=Grant ArgoCD the permissions/TLS RHOSO needs. Modifies the cluster. INPUT_DESCRIPTION=confirm (bool) — must be true OUTPUT_DESCRIPTION=status, stdout, stderr, exit_code EXAMPLES=devtools_configure_openshift_gitops(confirm=True) PREREQUISITES=ArgoCD instance enabled RELATED_TOOLS=devtools_enable_argocd

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

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Modifies the cluster' and requires confirm=true, which are important. However, it doesn't elaborate on the nature of the cluster modifications, potential risks, or whether the operation is reversible, leaving some ambiguity for an agent.

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?

The opening sentence is clear and front-loaded, but the description includes redundant metadata lines like TOOL_NAME and DISPLAY_NAME that duplicate the provided name. The KEY=VALUE structure is readable, but not every line 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?

For a tool with one parameter and an output schema, the description covers the use case, prerequisite, parameter semantics, example, and output fields. It could be more complete about the exact cluster-level changes, but it is adequate for an agent to understand the tool's role.

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?

At 0% schema coverage, the description compensates with explicit parameter guidance: 'confirm (bool) — must be true' and an example call with confirm=True. This adds meaning beyond the bare schema default of false, though it doesn't describe what happens if confirm is false.

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 starts with a specific verb and resource: 'Configure ArgoCD with cluster-wide permissions and TLS.' It also adds the USECASE 'Grant ArgoCD the permissions/TLS RHOSO needs,' which clearly differentiates this from sibling tools like devtools_enable_argocd or devtools_install_gitops_operator.

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?

The description provides a prerequisite ('ArgoCD instance enabled') and names a related tool (devtools_enable_argocd), making it clear this is meant to be used after ArgoCD is enabled. It does not explicitly state when not to use it, but the context is sufficient for correct selection.

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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