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Panelica

panelica-mcp

Official
by Panelica

panelica_python_apps_post_v1_python_versions_install

Install a Python version on your Panelica server to enable Python applications. Specify the version in the request to set up the runtime.

Instructions

Install Python version

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

Input Schema

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

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already mark readOnlyHint=false; the description adds 'Mutating: changes server state' and the apps:write scope requirement, which is useful authorization context. It does not disclose likely side effects such as download duration, existing version replacement, or failure modes, but given annotation coverage this is a reasonable mid score.

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, front-loaded with the core verb and resource, and avoids filler. The HTTP path, category, scope, and mutating flag are each compact and useful, though the mutating line partly restates the readOnlyHint annotation.

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?

For a state-changing install endpoint with no output schema and an opaque request body, the description is incomplete. It does not tell the agent what the body must contain, how to discover available versions, whether the install is synchronous/asynchronous, or what response to expect.

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?

The only parameter is a free-form body whose schema is explicitly 'not statically declared — see API docs'; the tool description adds no field names or example values such as which Python version identifier to send. Despite the reported 100% schema coverage, that coverage is a placeholder and leaves the agent without enough information to construct a correct request.

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 states a specific action ('Install Python version') with resource and HTTP endpoint, and the Category 'Python Apps' distinguishes it from the analogous Node.js install sibling. It could be stronger by explicitly contrasting with related Python version settings, but the purpose is unambiguous.

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 given about when to call this tool versus alternatives such as panelica_python_apps_post_v1_python_versions_major_default or listing versions before install. The only context is the required scope and a mutating warning, which are operational facts, not usage direction.

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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