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qbit_manage_commands

Run qbit_manage maintenance commands on qBittorrent: recheck torrents, update tags, and remove unregistered or orphaned data.

Instructions

qbit manage commands operations on qbit_manage. Pass operation and an arguments dict matching that operation's parameters.

  • qbit_manage_run_command(body={}) — Run qbit_manage commands against a config (body is a CommandRequest: config_file, commands list, hashes, dry_run, skip_cleanup, skip_qb_version_check, log_level). Valid commands: cat_update, tag_update, recheck, rem_unregistered, tag_tracker_error, rem_orphaned, tag_nohardlinks, share_limits. WRITE: this runs real qbit_manage operations against your qBittorrent instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo
operationYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden and explicitly warns 'WRITE: this runs real qbit_manage operations against your qBittorrent instance.' It also mentions dry_run among the CommandRequest fields, helping an agent understand that changes can be previewed. It does not fully cover secondary effects, but the key mutation risk is disclosed.

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 compact and front-loaded with the core instruction and the WRITE warning, followed by a structured CommandRequest summary. The opening sentence is slightly redundant with the tool name, but no sentence is wasted.

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

Completeness4/5

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

For a command-execution tool with an output schema and no annotations, the description covers operation mechanics, parameter contents, valid subcommands, and mutation risk. It could be more complete with explicit sibling routing, but nothing essential for invoking the tool correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the arguments field is a free-form object, yet the description lists the CommandRequest fields (config_file, commands, hashes, dry_run, skip_cleanup, skip_qb_version_check, log_level) and valid command values. This fully compensates for the sparse schema by giving agents concrete parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool runs qbit_manage commands against a config by passing an operation and arguments, and it enumerates the valid commands. This gives a specific verb+resource and distinguishes it from sibling tools focused on config, scheduler, logs, system, and security.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'qbit manage commands operations' and the command list imply this is the tool for executing qbit_manage commands, but there is no explicit when-to-use guidance or mention of alternatives. It provides clear context without exclusions, so it stops at implied usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.