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themonagroup

monacloud-mcp

Official
by themonagroup

vibecloud_app_env_set

Set an app's environment by replacing all variables after approval; provide the complete key-value map to preserve existing values and deploy afterward to apply.

Instructions

Alias tương thích của cloud_app_env_set. / Compatibility alias. App từ git đã live: app host đầu tiên ~2–3 phút, deploy sau đó 10–20 giây. / Git apps are live. Thay toàn bộ env sau khi được duyệt, gửi đầy đủ map cần giữ; không log secret. Gọi cloud_app_deploy sau đó để áp dụng. / Set app environment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
envYes
app_idYes
sandboxNoThử 0đ, không tạo hạ tầng thật / Sandbox, no charge

Schema Changelog

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

  1. First observedv0.4.2

TDQS

A4/5.0
Behavior5/5

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

With no annotations provided, the description carries full behavioral burden and does it well. It warns that the entire environment is replaced after approval, instructs the caller to send a complete map of variables to preserve, cautions against logging secrets, and specifies the required follow-up deploy call. This is rich, honest behavioral disclosure.

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 description is somewhat compact but mixes Vietnamese and English with redundant translation of the alias statement. Key behavioral warnings are only in Vietnamese, which may reduce clarity for English-only agents. Still, each sentence carries useful operational 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?

The description covers destructive env replacement, preservation of existing variables, secret handling, deployment sequencing, and expected provisioning timing. It lacks explicit guidance on output or return values, but there is no output schema and the core invocation context is well covered.

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 only 33%, so the description must compensate for undocumented parameters. It adds important semantics for `env` by explaining the full-map replacement behavior, but it does not clarify `app_id` or `sandbox` beyond the schema. The contribution is meaningful but incomplete.

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?

The description clearly identifies the action as setting app environment variables and explicitly notes it is a compatibility alias for cloud_app_env_set. This gives a specific verb and resource, though it doesn't strongly differentiate behavior from its canonical sibling beyond the alias relationship.

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 provides useful usage context: apps from Git are live, initial host provisioning takes 2–3 minutes, subsequent deploys take 10–20 seconds, and cloud_app_deploy must be called afterward to apply changes. It does not explicitly state when to prefer this alias over cloud_app_env_set, but the alias relationship implies interchangeability.

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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