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mjrestivo16
by mjrestivo16

k8s_create_configmap

Create a Kubernetes ConfigMap to store configuration data as key-value pairs for applications in your cluster.

Instructions

Create a ConfigMap from literal values

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesConfigMap name
namespaceNoNamespace
dataYesKey-value pairs for the ConfigMap
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states the tool creates a ConfigMap but doesn't disclose permissions required, whether it's idempotent, what happens on conflicts, or any rate limits. 'From literal values' hints at the data format but lacks operational context.

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 a single, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it easy to parse. Every word earns its place by specifying the creation method ('from literal values').

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 mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain the return value, error conditions, or prerequisites like required Kubernetes permissions. The agent lacks context on what 'success' looks like or how to handle failures.

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 fully documents the three parameters (name, namespace, data). The description adds no additional parameter semantics beyond what's in the schema, such as format constraints or examples for the data object. Baseline 3 is appropriate when schema does the heavy lifting.

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?

The description clearly states the action ('Create') and resource ('ConfigMap'), specifying it's 'from literal values' which distinguishes it from other creation methods. However, it doesn't explicitly differentiate from sibling tools like k8s_create_secret or k8s_apply_manifest, which could also create 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?

The description provides no guidance on when to use this tool versus alternatives. There's no mention of when to choose this over k8s_apply_manifest for ConfigMaps, or how it differs from k8s_create_secret. The agent must infer usage from the tool name alone.

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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