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argocd-mcp

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get_application_workload_logs

Retrieve logs for Kubernetes workloads (Deployment, StatefulSet, Pod, etc.) in an ArgoCD application by providing application name, resource reference, and optional container name.

Instructions

get_application_workload_logs returns logs for application workload (Deployment, StatefulSet, Pod, etc.) by application name and resource ref and optionally container name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
applicationNameYes
applicationNamespaceYesThe namespace where the ArgoCD application resource will be created. This is the namespace of the Application resource itself, not the destination namespace for the application's resources. You can specify any valid Kubernetes namespace (e.g., 'argocd', 'argocd-apps', 'my-namespace', etc.). The default ArgoCD namespace is typically 'argocd', but you can use any namespace you prefer.
resourceRefYes
containerYes
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It does not mention potential limits, authorization needs, or whether the operation is read-only or destructive. The description only states what the tool does, not how it behaves.

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?

The description is a single sentence that captures the essence without extra words. It is front-loaded with the tool's purpose. However, it could be slightly more structured for readability.

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 absence of an output schema, the description should explain what type of logs are returned (e.g., format, pagination). It does not describe the return value, leaving ambiguity. The tool has complex parameters (nested object) and the description does not cover all details.

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?

Only 25% of schema parameters have descriptions. The description adds minimal meaning beyond parameter names (e.g., 'by application name and resource ref and optionally container name'). The nested resourceRef object lacks explanation of its fields despite a detailed schema.

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 tool retrieves logs for application workloads, specifying the resource types and key parameters. It is specific about the verb and resource, but does not explicitly differentiate from sibling tools like get_application_events or get_resource_events.

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?

No guidance is provided on when to use this tool vs alternatives such as get_resource_events or get_application_events. There is no mention of prerequisites or context for use.

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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