create_app
Creates a new app service in EasyPanel by specifying the project name and service name.
Instructions
Create an app service
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| projectName | Yes | Project name | |
| serviceName | Yes | Service name |
Creates a new app service in EasyPanel by specifying the project name and service name.
Create an app service
| Name | Required | Description | Default |
|---|---|---|---|
| projectName | Yes | Project name | |
| serviceName | Yes | Service name |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.4.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full behavioral disclosure burden on its own. It only says an app service is created, without describing side effects, prerequisites, required permissions, failure modes, or what happens to related resources.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence with no filler, making it easy to parse. However, the brevity mostly reflects a lack of substantive guidance rather than efficient packing of useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with two fully documented string parameters, the basic invocation is understandable from the description and schema. Still, with no annotations and no output schema, it does not explain return behavior, whether the project must already exist, or how this step fits into the app lifecycle.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Both parameters are already described in the input schema with 100% coverage, giving basic meaning to projectName and serviceName. The description adds no additional semantics about their relationship, accepted formats, or constraints, so the schema remains the primary source of parameter meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a concrete action and resource: create an app service. It is clearly distinct from siblings like create_project and create_database, though it does not explicitly differentiate from deploy_app or other app lifecycle tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use create_app versus deploy_app, inspect_app, start_app, or destroy_app. There are no exclusions, prerequisites, or alternative conditions stated, so the agent must infer usage from the tool name.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/dray-supadev/easypanel-mcp'
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