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mjrestivo16
by mjrestivo16

k8s_list_daemonsets

List DaemonSets in Kubernetes namespaces to monitor cluster-wide deployments and manage resource distribution across nodes.

Instructions

List DaemonSets in a namespace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namespaceNoNamespace
all_namespacesNoList across all namespaces
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 burden of behavioral disclosure. It states the action ('List') but doesn't describe what the output looks like (e.g., list format, fields included), whether it's paginated, if it requires specific permissions, or any rate limits. This is a significant gap for a tool with no annotation coverage.

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 waste—it directly states the tool's purpose without unnecessary words. It's front-loaded and appropriately sized for a simple listing operation.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain the output format, behavioral traits like safety or permissions, or how parameters interact (e.g., mutual exclusivity of 'namespace' and 'all_namespaces'). For a tool with no structured support, more context is needed.

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 both parameters ('namespace' and 'all_namespaces') with clear descriptions. The description adds no additional meaning beyond implying namespace scoping, which is already covered in the schema. Baseline 3 is appropriate when the 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 verb ('List') and resource ('DaemonSets') with scope ('in a namespace'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'k8s_get_daemonset' (which retrieves a specific DaemonSet) or 'k8s_list_pods' (which lists a different resource type), though the naming convention helps.

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. It doesn't mention sibling tools like 'k8s_get_daemonset' for detailed views or 'k8s_list_all' for broader listings, nor does it explain the relationship between the 'namespace' and 'all_namespaces' parameters, leaving usage context unclear.

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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