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arr-mcps
by arr-mcps

qui_dry_run_automations

Dry-run automations on a qBittorrent instance to preview changes without applying them. Simulate execution to validate behavior before going live.

Instructions

Call qui's POST /instances/{instanceID}/automations/dry-run endpoint. Pass path variables directly in arguments, query values in arguments.params, and a JSON request body in arguments.body.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, and the description does not disclose whether the dry-run has side effects, what it returns, or any prerequisites. The word 'dry-run' implies non-destructive behavior but it is not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, direct, no filler. It front-loads the endpoint and gives structural guidance.

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?

The description covers the basic call mechanics, but lacks context on the purpose of dry-run, required path parameters, and what the response contains. The presence of an output schema mitigates the need for return details, but the overall contextual guidance is minimal.

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

Parameters4/5

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

The description adds value by explaining how to structure arguments: path variables at top level, query parameters in arguments.params, and JSON body in arguments.body. This is essential given the schema is a generic object with 0% coverage.

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 it calls a specific POST endpoint for automations dry-run, distinguishing it from other automation tools like qui_apply_automations. It uses a specific verb and resource, making the action 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 provided on when to use this tool versus alternatives. It does not mention that it should be used for testing automations without side effects, nor does it reference sibling tools.

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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