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razvanmacovei

Multi Cluster Kubernetes MCP Server

k8s_autoscale_resource

Configure a Horizontal Pod Autoscaler to automatically scale deployments, statefulsets, or replicasets between min and max replicas based on CPU utilization.

Instructions

Configure a Horizontal Pod Autoscaler (HPA) for a deployment, statefulset, or replicaset. Creates or updates an HPA that scales between min and max replicas based on CPU utilization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
contextYes
namespaceYes
cpu_percentNo
max_replicasYes
min_replicasYes
resource_typeYes
Behavior2/5

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

With no annotations provided, the description carries full burden. It discloses creates/updates and CPU-based scaling but omits critical details like whether updates are idempotent, what happens if the resource doesn't exist, or potential destructive effects.

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?

Two concise sentences with no wasted words. Front-loaded with the main purpose and key details.

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

Completeness2/5

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

For a mutating tool with 7 parameters, no output schema, and no annotations, the description is too brief. It lacks guidance on outcomes, error cases, and integration with sibling tools.

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%. The description adds context for resource_type, min/max_replicas, cpu_percent, and the overall purpose, but does not explain context or namespace (standard k8s concepts) or the default for cpu_percent.

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 it configures a Horizontal Pod Autoscaler for specific resource types (deployment, statefulset, replicaset) and mentions creates or updates based on CPU utilization. This distinguishes it from siblings like k8s_scale_resource (manual scaling) and k8s_update_resources.

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?

No explicit guidance on when to use this tool versus alternatives (e.g., when to use k8s_scale_resource instead). It does not mention limitations or prerequisites.

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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