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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_edit_resource_v1

Edit Kubernetes resources in Cloudeka environments by specifying resource type, project, namespace, name, and updated configuration data.

Instructions

Call the cldkctl_edit_resource_v1 endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resourceYesKubernetes resource type
project_idYesProject ID
namespaceYesNamespace
nameYesResource name
resource_dataYesResource data
Behavior1/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It fails to do so: it does not indicate that this is a mutation operation (editing implies changes), what permissions are required, whether edits are destructive or reversible, or any rate limits. The description adds no behavioral context beyond the vague 'call the endpoint,' leaving the agent uninformed about critical operational aspects.

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

Conciseness2/5

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

The description is a single, vague sentence that fails to convey useful information. While concise, it is under-specified and wastes the opportunity to provide value. Conciseness should not come at the cost of clarity; this description is too brief to be helpful, earning a low score for ineffective brevity.

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

Completeness1/5

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

Given the complexity (editing Kubernetes resources with 5 required parameters), lack of annotations, and no output schema, the description is completely inadequate. It does not explain the tool's purpose, behavior, or usage, leaving the agent with insufficient context to invoke it correctly. The high schema coverage does not compensate for the missing operational and contextual details.

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 100%, so the schema already documents all five parameters (resource, project_id, namespace, name, resource_data) with basic descriptions. The description adds no additional meaning, examples, or constraints beyond what the schema provides. According to the rules, with high schema coverage, the baseline is 3 even without param info in the description.

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

Purpose1/5

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

The description 'Call the cldkctl_edit_resource_v1 endpoint' is a tautology that merely restates the tool name. It provides no information about what the tool actually does (e.g., edit Kubernetes resources), what 'edit' entails, or what distinguishes it from sibling tools like cldkctl_create_resource_v1 or cldkctl_delete_resource_v1. This fails to help an agent understand the tool's purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., authentication), context for editing resources, or when to choose this over other edit tools (e.g., cldkctl_edit_deployment). With many sibling tools present, this lack of differentiation is particularly unhelpful for an agent.

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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