Skip to main content
Glama
ginkida

portainer-mcp

by ginkida

portainer_container_logs

Retrieve container logs for troubleshooting. Specify container ID, number of tail lines (default 100, max 1000), and optional endpoint.

Instructions

Get container logs.

Args: container_id: Container ID or name tail: Number of lines from the end of the logs (default 100, max 1000) endpoint_id: Target endpoint ID (uses default if omitted)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
container_idYes
tailNo
endpoint_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations; description adds tail constraints (default 100, max 1000) but omits side effects, authentication, or error behavior.

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?

Extremely concise and front-loaded with purpose. Every sentence adds value with no waste.

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 output schema present, return values need not be described. However, lacks usage scenarios, error handling, or comparison to siblings. Adequate but incomplete.

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

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but description explains all three parameters, adding defaults, max value for tail, and default behavior for endpoint_id. Fully compensates.

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?

Description states 'Get container logs' with specific verb and resource. Clear purpose, but does not explicitly differentiate from sibling 'portainer_container_logs_grep' which likely adds filtering.

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 like portainer_container_logs_grep. Lacks context for selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ginkida/portainer-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server