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AWS-Auth

by N0mansky
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

aws_update_kubeconfig

Configure local kubeconfig for kubectl to connect to a specific AWS EKS cluster. Specify cluster name, region, and AWS profile.

Instructions

Configure local kubeconfig to connect to a specific EKS cluster.

Args: cluster_name: Name of the EKS cluster region: AWS region of the cluster profile_name: AWS profile name to authenticate with

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": {
      "cluster_name": "<cluster_name>"
    },
    "name": "aws_update_kubeconfig"
  }
}

Input Schema

NameRequiredDescriptionDefault
regionNous-east-1
cluster_nameYes
profile_nameNodefault

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden and largely fails it. It never says that this writes/overwrites the local kubeconfig file, whether it replaces an existing context for the same cluster, whether it requires the AWS CLI or valid credentials, or what happens on failure. For a mutating configuration tool, that is a significant gap.

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 main sentence is front-loaded and wastes nothing, and the Args list is compact. The parameter list restates information the schema container already shows, which is minor redundancy rather than bloat.

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?

An output schema exists, so return values need not be described. Still, for a tool that mutates local state with zero annotation coverage, the description omits the behavioral context (overwrite semantics, credential prerequisites) an agent would need to invoke it safely.

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 property titles ('Region', 'Cluster Name', 'Profile Name') are near-tautological, so the description's Args block does add real meaning (which AWS region, that the profile is used for authentication). However, it omits the schema defaults (us-east-1, 'default') and gives no format hints for cluster_name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Configure), resource (local kubeconfig), and target (a specific EKS cluster), which cleanly separates it from siblings like aws_list_eks_clusters or aws_get_caller_identity. It does not explicitly name any sibling as an alternative, so it falls short of a 5.

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 scenario is implied by the purpose: use this when you need kubectl pointed at a given EKS cluster. There is no explicit when-to-use statement, no prerequisites (e.g. credentials must already exist), and no mention of related tools such as aws_list_eks_clusters for finding the cluster name.

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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