Set or update environment variables in a Python app's .env file through cPanel to control runtime and deployment settings.
Set or update environment variables in .env for a Python application
| Name | Required | Description | Default |
|---|---|---|---|
| app_root | Yes | Application root directory | |
| env_variables | Yes | List of environment variables in KEY=VALUE format (e.g. ['SECRET_KEY=...', 'DEBUG=False']) |
Changes observed during successful MCP inspections.
v2.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden. It says variables are set in .env but not whether existing keys are overwritten or merged, whether the file is created if absent, whether a restart of the app is required for changes to take effect, or what the tool returns on success.
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?
A single front-loaded sentence with no filler; the resource and file target come before the application scope. It is efficient, though terse enough that it leaves behavioral questions unaddressed rather than being genuinely complete.
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?
The tool is simple (2 required params, flat schema, full coverage, no output schema), so little is strictly needed. However, with no annotations the description should at least clarify merge-vs-overwrite semantics and whether the .env file is created, given this is a write operation against a config file.
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?
Schema description coverage is 100%, so both app_root and env_variables (KEY=VALUE format) are already documented. The description only adds that the target file is .env, presumably resolved relative to app_root, which is marginal value beyond the schema.
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?
States a specific verb pair ('Set or update'), a specific resource ('environment variables in .env') and scopes it to a Python application, which implicitly contrasts with the sibling configure_nodejs_env. It stops short of naming that sibling explicitly, so an agent must infer the distinction.
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?
The 'for a Python application' qualifier gives implied context for when this applies versus configure_nodejs_env, but there is no explicit when-to-use statement, no prerequisites (e.g. must the app be set up first via setup_python_app?) and no exclusions or alternatives named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.