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crunchtools

mcp-podman-crunchtools

by crunchtools

container_logs_tool

Fetch logs from a Podman container by name or ID. Optionally limit to recent lines, filter by timestamp, and include timestamps.

Instructions

Get container logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesContainer name or ID
tailNoNumber of lines from the end of the logs
sinceNoShow logs since timestamp (e.g. "2024-01-01T00:00:00Z")
timestampsNoAdd timestamps to each log line

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals nothing about how logs are retrieved, the effect of optional parameters like tail and since, or potential prerequisites, making it highly opaque.

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 concise sentence that front-loads the core action. However, it is so minimal that it conveys no extra structural information, which slightly limits its effectiveness.

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?

While an output schema exists and covers return values, the description omits critical context such as when to use the tool, prerequisites, and behavioral nuances of the optional parameters. For a tool with four parameters and multiple options, this is incomplete.

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?

The input schema has 100% parameter coverage with descriptions for each field, so the baseline is 3. The tool description adds no additional parameter semantic value, but the schema itself adequately documents the parameters.

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 identifies the tool as retrieving container logs, with a specific verb and resource. However, it does not differentiate from sibling tools like service_logs_tool, which also fetch logs, so it lacks explicit distinction.

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 versus alternatives such as container_inspect_tool or service_logs_tool. The description simply states the action without contextualizing its appropriate 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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