Skip to main content
Glama
mrafay7655

kubernetes-observability-mcp-server

list_deployments

Retrieve Kubernetes deployments with replica counts and conditions for a namespace to verify rollout health and troubleshoot availability issues.

Instructions

List deployments with replica counts and conditions

Input Schema

NameRequiredDescriptionDefault
namespaceNoNamespace (default: "default")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden; it does disclose the shape of the return data (replica counts and conditions), which is real added value. It never states that the operation is read-only, what happens for a nonexistent namespace, or whether results are limited to one namespace, leaving behavioral gaps for an unannotated tool.

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?

A single front-loaded sentence with no filler or redundancy. It is efficient, though its brevity leaves room for one more clause of routing or scope guidance without becoming verbose.

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?

With no output schema and no annotations, the description must cover return semantics, and it partially does (replica counts and conditions). It is still thin on namespacing behavior and failure modes for a Kubernetes listing tool, leaving an agent with unanswered questions before invocation.

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 single namespace parameter (including its "default" default) is already fully documented in the schema. The description adds no meaning beyond that—for example, whether omitting namespace could ever mean all namespaces—so the baseline of 3 applies.

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+resource ("List deployments") and adds what the response contains ("replica counts and conditions"), which goes beyond the name alone. It does not distinguish itself from the close sibling describe_deployment, so an agent must infer that this is the summary-list variant rather than the detailed one.

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?

Usage is only implied by the verb "List" and the sibling name "describe_deployment"; nothing states when to prefer this over a detailed describe or over list_pods. No exclusions, prerequisites, or alternative routing are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.