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ay-garg

OpenShift 4 MCP Server

by ay-garg

create_machine_autoscaler

Create a MachineAutoscaler custom resource to automatically scale the number of machines in a specified MachineSet, based on workload demands.

Instructions

Create a MachineAutoscaler CR targeting a MachineSet in openshift-machine-api. Requires a ClusterAutoscaler to be configured for this to take effect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
clusterNo
max_replicasYes
min_replicasYes
machineset_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description carries full burden for behavioral hints. It states the creation action but does not disclose mutation effects, idempotency, permissions required, or error conditions. The prerequisite is useful but insufficient.

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 extremely concise with two sentences, front-loading the core action immediately. No extraneous information.

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

Completeness3/5

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

Given the tool has an output schema (not shown), the description need not detail return values. It provides a critical prerequisite but omits error behaviors, conflict handling, or scope of changes. Adequate for a straightforward CRUD tool but could be richer.

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 0%, and the description adds no additional meaning to the parameters. While three parameters are self-explanatory ('name', 'machineset_name', 'min_replicas', 'max_replicas'), the 'cluster' parameter has a default but no explanation. The baseline is 3 due to minimal description contribution.

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 action ('Create'), the resource ('MachineAutoscaler CR'), and the target ('MachineSet in openshift-machine-api'). It effectively distinguishes from sibling tools like list_machine_autoscalers and scale_machine_set.

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 key prerequisite: 'Requires a ClusterAutoscaler to be configured for this to take effect.' This guides the agent on necessary conditions. However, it lacks explicit exclusions or alternative tools for different scenarios.

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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