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hostinger-api-mcp

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VPS_getProjectLogsV1

Retrieve aggregated log entries from all Docker Compose services in a project for debugging and monitoring application behavior.

Instructions

Retrieves aggregated log entries from all services within a Docker Compose project.

This endpoint returns recent log output from each container, organized by service name with timestamps. The response contains the last 300 log entries across all services.

Use this for debugging, monitoring application behavior, and troubleshooting issues across your entire project stack.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
virtualMachineIdYesVirtual Machine ID
projectNameYesDocker Compose project name using alphanumeric characters, dashes, and underscores only
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that logs are recent, organized by service with timestamps, and limited to 300 entries. This is good transparency for a log retrieval tool.

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 three concise sentences: first stating purpose, second detailing response format, third listing use cases. It is front-loaded with no extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately describes the general output format (log entries with timestamps, organized by service, 300 entries). It could be more specific about fields, but it is sufficient for a tool of this complexity.

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 coverage is 100% with descriptions for both parameters. The description does not add further meaning beyond what the schema provides, meeting the baseline but not exceeding it.

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 tool retrieves aggregated log entries from all services in a Docker Compose project, using the verb 'retrieves' and specifying the resource. This distinguishes it from sibling tools like VPS_getProjectContainersV1.

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 explicitly states to use for debugging, monitoring, and troubleshooting. It does not mention when not to use or alternatives, but the use case is clear and contextually appropriate.

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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