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panelica-mcp

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by Panelica

panelica_python_apps_post_v1_python_apps_id_start

Start a Python application by providing its ID to bring it online and resume operation.

Instructions

Start app

HTTP: POST /v1/python/apps/:id/start 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

B3.2/5.0
Behavior3/5

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

The description adds that the call is mutating ('changes server state') and requires the apps:write scope, which provides context beyond the annotation flags. However, it does not disclose edge-case behavior such as what happens if the app is already running or whether the call is asynchronous. No contradiction with annotations.

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 definition is compact and front-loads 'Start app', then presents route, category, scopes, and mutation flag as tight metadata lines. The opening line is slightly redundant with the title, but there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple start action, the definition plus schema gives the required id and confirms mutating behavior and scopes. It does not explain the optional body, return/error behavior, or preconditions, so the tool is workable but not fully self-sufficient.

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?

The tool-level description says nothing about the id or body parameters. The schema describes id only as 'Path parameter: id' and body as an open object with no static schema, so the description adds no extra semantic help. Baseline 3 applies because schema coverage is technically 100%.

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 names the action ('Start app') and provides the exact HTTP route and category, so an agent can identify it as the start operation for Python apps. It does not explicitly distinguish this tool from sibling start/stop/restart operations, but the verb and category make the purpose clear.

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 invoke this tool instead of sibling operations such as stop, restart, or the analogous Node.js start endpoint. There are no prerequisites, preconditions, or exclusions, leaving the agent to infer context from the route and name.

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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