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list_pod_monitors

List all PodMonitors in a specified namespace to inspect Prometheus pod scrape targets for effective OpenShift cluster monitoring.

Instructions

List all PodMonitors in a namespace (Prometheus pod scrape targets).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namespaceNodefault
cluster_aliasNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the transparency burden. It implies a read-only list operation and adds scope context ('in a namespace', 'Prometheus pod scrape targets'), but does not mention permissions, pagination, or cluster selection behavior.

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?

A single, front-loaded sentence that states the action and resource immediately. Zero waste, every word earns its place.

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

Completeness4/5

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

For a simple list tool with an output schema and defaulted parameters, the description is largely sufficient. It could be more complete by noting how cluster_alias is used or differentiating from ServiceMonitors, but it is not lacking critical information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the two parameters (namespace, cluster_alias) at all. While parameter names are somewhat self-explanatory, the description adds no meaning beyond the schema.

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 uses a specific verb+resource ('List all PodMonitors') and clarifies scope ('in a namespace') plus a parenthetical explanation ('Prometheus pod scrape targets') that distinguishes it from sibling tools like list_service_monitors.

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 usage context is implied: use this to list PodMonitors in a namespace. However, it does not explicitly state when to prefer this over alternatives like list_service_monitors or provide any exclusion criteria.

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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