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get_all_container_logs

Retrieve logs from every container in a multi-container pod, returned as a dictionary mapping container names to their output. Ideal for debugging all containers simultaneously.

Instructions

Get logs from ALL containers in a multi-container Pod.

Returns a dict mapping container name to its log output.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
previousNo
namespaceNodefault
tail_linesNo
timestampsNo
cluster_aliasNo
since_secondsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the return type (dict mapping container names to log output) but does not mention side effects, limitations, error behavior, or prerequisites. For a read operation this is minimal but not misleading.

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 two sentences, with the core action front-loaded in the first sentence and the return format in the second. Every word earns its place; no extraneous information.

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?

The tool has seven parameters, no annotations, and the description only covers the primary function and return type. Parameter semantics are entirely missing, and the lack of context on optional flags like previous, tail_lines, or timestamps makes it incomplete for a production tool.

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

Parameters1/5

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 any of the seven parameters. It adds no value beyond the schema's property names, failing to compensate for the complete lack of parameter documentation.

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 clearly states the verb 'Get' and specifies the resource 'logs from ALL containers in a multi-container Pod', which distinguishes it from single-container log tools like get_pod_logs. The return format is also mentioned, removing any ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly communicates the appropriate use case (all containers in a multi-container pod) and mentions the return structure. However, it does not explicitly name alternatives or state when not to use the tool, so it lacks exclusionary guidance.

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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