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panelica-mcp

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by Panelica

panelica_python_apps_post_v1_python_example

Deploy a ready-to-run example Python app to Panelica hosting. This creates a sample application instance so you can test and manage Python apps alongside domains, SSL, and databases via natural language.

Instructions

Deploy example app

HTTP: POST /v1/python/example 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

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 warns that it mutates server state, which is useful beyond the annotations' readOnlyHint=false. However, it does not disclose what resource is created or changed, whether the operation is reversible, or what side effects the deploy has.

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 action, followed by compact routing and scope lines. Some lines duplicate the tool name/endpoint, but they still serve as explicit reference information without becoming verbose.

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 description is incomplete for correct invocation because the request body schema is explicitly not statically declared and the description gives no hint about its expected contents. It also does not mention the sibling GET /v1/python/examples endpoint, which could help an agent verify what examples exist or what the deploy produces.

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 for the only parameter is 100%, so the baseline is 3, but the description adds no field-level meaning. The body parameter is documented only as an untyped JSON object with additionalProperties true, and the tool description does not compensate by explaining what an example-app deployment request should contain.

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 ('Deploy example app') and reinforces it with the HTTP method, path, and category. It clearly identifies the resource being acted on, though it does not explicitly contrast itself with the related POST /v1/python/apps or GET /v1/python/examples endpoints.

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 on when to use this tool versus alternatives. It does not mention the GET /v1/python/examples listing endpoint, the main Python app creation endpoint, or any condition that would favor this example deployment tool. The required-scopes and mutating notes provide context but not decision criteria.

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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