prowlarr_applications

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

With no annotations provided, the description carries the full burden. It reveals important behaviors like force_save bypasses validation, force_test skips cached-test check, bulk update applies tags to all, and app profiles were added in Prowlarr 1.19+. Destructive operations are named as 'delete' but reversibility or permissions are not explicitly stated, which prevents a 5.

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

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

The description is a well-structured bullet list with each operation on one line, front-loaded with an overall usage instruction. Every sentence provides value—no filler or repetition. The length is appropriate for the number of operations covered.

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

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

Given the dispatcher design and the presence of an output schema, the description covers all necessary aspects: what each operation does, what arguments it takes, and important nuances (schema fetches, force flags, version availability). It is complete for an AI agent to select and invoke the correct operation.

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

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

The input schema only shows operation (enum) and a generic arguments object (0% coverage). The description compensates fully by listing each operation's exact parameters and expected types (e.g., 'body is an ApplicationResource', 'id' for delete). It even directs users to fetch schemas for provider fields, which is essential for correct invocation.

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

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

The description clearly states this is for Prowlarr applications operations and enumerates 17 specific operations with verbs (create, delete, list, test, update, etc.). This distinguishes it from sibling tools like prowlarr_indexers or prowlarr_download_clients by resource domain and operation scope.

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

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

The description gives a clear general usage instruction ('Pass operation and an arguments dict') and explains each sub-operation with its purpose (e.g., 'Read this before creating/updating an application'). It doesn't explicitly mention when not to use this tool vs alternatives, but the sibling tools are clearly different resources, so the context is sufficient.

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