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mcp-podman-crunchtools

by crunchtools

Container Logs Tool

container_logs_tool

Retrieve container logs by name or ID, filter by tail lines or since timestamp, and optionally include timestamps to diagnose Podman container issues.

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 (RFC3339, e.g. "YYYY-MM-DDThh:mm:ssZ")
timestampsNoAdd timestamps to each log line

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • changedInput schema / properties / since / description
      Previous value: -"Show logs since timestamp (e.g. \"2024-01-01T00:00:00Z\")"New value: +"Show logs since timestamp (RFC3339, e.g. \"YYYY-MM-DDThh:mm:ssZ\")"
  2. First observedv0.2.2

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description carries full behavioral disclosure but only implies a read operation. It does not state whether logs stream continuously, require specific permissions, have rate limits, or what happens with the 'tail'/'since' defaults beyond what the schema already documents.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence with no wasted words and is front-loaded. However, it is arguably too terse for a four-parameter tool, bordering on under-specification rather than optimal conciseness.

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?

Although an output schema exists and schema coverage is complete, the description lacks essential context for an agent: it offers no usage guidance, no behavioral notes (e.g., streaming or permissions), and no differentiation from siblings. For a tool with four parameters and no annotations, this is insufficiently complete.

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 all four parameters are already well-documented in the input schema. The description adds no additional parameter meaning or syntax, so baseline 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 and resource ('Get container logs'), making the basic action clear. However, it does not distinguish itself from siblings like container_inspect_tool or container_stats_tool, leaving the agent to infer that this tool specifically retrieves log output.

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 on when to use this tool versus alternatives such as container_inspect_tool or container_stats_tool. There are no prerequisites, exclusions, or context for selecting it among the many container-related siblings.

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