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Panelica

panelica-mcp

Official
by Panelica

panelica_python_apps_post_v1_python_apps_id_pip

Execute pip commands on a Python application to manage packages, dependencies, and environments. Install, upgrade, or uninstall Python packages through the hosting panel API.

Instructions

Run pip command

HTTP: POST /v1/python/apps/:id/pip Category: Python Apps Required scopes: apps:write Mutating: changes server state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPath parameter: id
bodyNoRequest body (application/json). Schema not statically declared — see API docs.
Install Server

TDQS

B3.1/5.0
Behavior3/5

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

The description adds the required scope 'apps:write' and explicitly notes 'Mutating: changes server state', which are useful. Annotations already communicate readOnlyHint=false and openWorldHint=true, so the bar is lower; however, the description does not warn about the potentially wide-ranging side effects of running arbitrary pip commands.

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

Conciseness4/5

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

The description is short and front-loaded, with the core action stated first. The HTTP method, category, required scope, and mutation flag are compactly included, though 'Category: Python Apps' is redundant with the endpoint.

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?

The tool executes an arbitrary pip command, and the body schema is explicitly not statically declared, but the description gives no request-format guidance, examples, or link to API docs. Without output schema and with a completely opaque body, the agent lacks critical information needed to invoke it correctly.

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 coverage is 100%, so the baseline is 3 even without parameter details in the description. The description does not add meaning beyond the schema; notably, the body is described only as undocumented, which leaves the agent without concrete guidance on how to specify the pip command.

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 'Run pip command' against a Python app, with the HTTP endpoint and category adding useful context. It is distinguishable from related sibling operations like start/stop/restart/upload_code because those are different actions. However, it does not specify what a 'pip command' means in terms of request body or examples.

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?

No guidance is provided about when to use this tool versus alternatives such as restarting the app, uploading code, or installing via a different package manager. The description gives no conditions, exclusions, or sibling comparisons.

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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