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panelica-mcp

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by Panelica

panelica_python_apps_get_v1_python_apps_id_logs

Read-onlyIdempotent

Retrieve logs for a Python app by its ID to inspect runtime output and troubleshoot issues directly from a hosting panel.

Instructions

Get app logs

HTTP: GET /v1/python/apps/:id/logs Category: Python Apps Required scopes: apps:read Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPath parameter: id
Install Server

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description repeats 'Read-only.' It adds the required scope apps:read, which is useful context beyond the annotations, but it does not describe response shape, pagination, or any log-specific behavior.

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 purpose, followed by endpoint, category, scopes, and safety hint. No unnecessary prose, though some lines, like 'Read-only' and the HTTP method, partially duplicate annotations and the tool name.

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 single-parameter read-only endpoint, the description is adequate for selecting and invoking the tool: it provides the path, required scope, and safety profile. However, there is no output schema and no description of what the returned logs contain or any limits, which leaves some ambiguity for an agent.

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 description coverage is 100% and the only parameter, id, is already documented as a path parameter. The description does not add additional meaning about what the id refers to or how it is used, so the baseline score applies.

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 'Get app logs' and gives the explicit HTTP path GET /v1/python/apps/:id/logs, so a specific verb and resource are clear. The 'Category: Python Apps' line helps distinguish it from other app log tools like Node.js or Laravel, though the main phrase 'app logs' alone would be ambiguous.

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?

The description gives no guidance on when to use this tool versus the many sibling log-related tools. It does not mention alternatives, exclusions, or conditions that would direct an agent here instead of, say, cron job logs or domain logs.

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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