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themonagroup

monacloud-mcp

Official
by themonagroup

Dùng ngay MONA Agent template

agent_deploy

Deploy application directories to MONA Cloud: detect app type, create from local directory, or use live git repository URL. Starts sandbox when no host is available.

Instructions

Gọi cùng runtime với cloud_agent_deploy. Deploy thư mục: cloud_app_detect → cloud_app_create(local_dir); git dùng repo_url (đã live), sandbox trước nếu chưa có host.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
templateYes

Schema Changelog

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

  1. First observedv0.4.2

TDQS

C2.6/5.0
Behavior3/5

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 does reveal a multi-step behavior: app detection, app creation with local_dir, git repo_url handling, and sandbox fallback. However, it omits important behavioral details such as side effects, required permissions, or what happens after deployment.

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 text is short and information-dense, but it is not well structured or front-loaded. The first sentence is a cryptic runtime reference that obscures the tool's purpose, while the second sentence crams multiple deployment steps into a compact form that is hard to parse.

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?

This is a deployment tool with sequential behavior and no output schema or annotations, so the description needs to be more complete. It leaves gaps around what the `template` parameter controls, how the agent should discover valid templates, and what a successful deployment looks like. The pipeline mention helps but is not sufficient.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it barely does. The only parameter, `template`, is never explained: no source, no format beyond the regex, no relationship to agent_templates_list or agent_templates_get. The title's mention of 'MONA Agent template' gives minimal context but not enough to select or format the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a deploy action and a resource ('Deploy thư mục', 'MONA Agent template' in the title), and outlines a pipeline via cloud_app_detect and cloud_app_create. However, it never clearly states that this tool deploys a MONA Agent template using the `template` parameter, and the exact relationship with cloud_agent_deploy is ambiguous.

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?

There is no explicit guidance on when to use this tool versus siblings like cloud_agent_deploy or vibecloud_agent_deploy. The line 'Gọi cùng runtime với cloud_agent_deploy' is more of a runtime hint than usage guidance, and 'sandbox trước nếu chưa có host' is a procedural condition but not a clear selection criterion.

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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