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hostinger

hostinger-api-mcp

Official
by hostinger

Get project contents

VPS_getProjectContentsV1
Read-only

Fetch complete Docker Compose project information, including compose file contents, metadata, and deployment status, to review configuration and monitor project health.

Instructions

Retrieves the complete project information including the docker-compose.yml file contents, project metadata, and current deployment status.

This endpoint provides the full configuration and state details of a specific Docker Compose project.

Use this to inspect project settings, review the compose file, or check the overall project health.

Input Schema

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

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.5.0
  2. Removedv1.2.1
  3. Addedv0.2.2
  4. Removedv0.2.1
  5. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context about what will be returned (compose file, metadata, deployment status) but does not disclose additional details like response format, error conditions, or potential side effects.

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 appropriately sized and front-loaded with the core purpose. The second sentence is somewhat redundant with the first, but the overall structure remains efficient and easy to scan.

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?

For a read-only retrieval tool with a fully documented two-parameter schema, the description provides enough context about what is returned. It lacks an explicit response format, but the listed artifacts (compose file, metadata, deployment status) give adequate grounding for an agent.

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 both parameters are already documented in the schema. The description does not add new parameter-level meaning but reinforces that the tool targets a specific project.

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 uses a specific verb ('Retrieves') and a concrete resource ('complete project information for a specific Docker Compose project'), listing the included artifacts: docker-compose.yml contents, metadata, and deployment status. This clearly distinguishes it from sibling tools like getProjectList or getProjectLogs.

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 states when to use the tool: 'Use this to inspect project settings, review the compose file, or check the overall project health.' It provides clear context but does not explicitly mention alternatives or when not to use it.

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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