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list_python_apps

Lists all configured Python applications and their status, helping you review deployed Python apps in cPanel at a glance.

Instructions

List all configured Python applications and their status

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.0

TDQS

A3.7/5.0
Behavior3/5

Does 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 discloses that status information is included in the result, which is useful. However it never states that the operation is read-only and non-mutating, nor whether results are scoped to the authenticated account or paginated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single clause that front-loads the verb and resource and ends with the returned data. Nothing is redundant or padded.

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 zero-parameter, read-only listing with no output schema, the description tells the agent what entity is returned and that status is part of each entry. Only the authentication/scoping prerequisite is left unstated.

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

Parameters4/5

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

The tool takes zero parameters, so there is no parameter semantics to explain; the baseline of 4 applies. The description correctly does not invent options such as domain or status filtering.

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?

States a specific verb and resource ('List all configured Python applications') plus the payload ('their status'), so the agent knows exactly what comes back. It naturally separates from write-side siblings like setup_python_app or destroy_python_app, though it never names them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by 'List all configured' — call it to inventory Python apps — but there is no explicit when-to-use, no preconditions (e.g. does it require a cPanel login first), and no pointer to related siblings such as list_nodejs_apps or list_passenger_apps.

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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