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radarr_bulk_update_downloadclient

Bulk update the download client assignment for multiple movies in Radarr with a single write operation.

Instructions

Bulk update downloadclient. WRITE: this modifies your Radarr instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already indicate readOnlyHint=false, and the description's 'WRITE: this modifies your Radarr instance' adds little beyond that. The description does not disclose additional behavioral traits such as whether updating is partial or full replacement, whether it applies to multiple download clients simultaneously, or any potential side effects. It is not contradictory, but it provides minimal added transparency beyond the structured data.

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 extremely concise, consisting of two short sentences. The first sentence states the action, and the second adds a write-operation warning. Every word earns its place, and the structure is front-loaded. It sacrifices necessary detail, but from a pure conciseness standpoint it is efficient and free of redundancy.

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

Completeness2/5

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

Despite having an output schema, the tool's overall completeness is poor. The input schema is vague, and the description does not compensate. There is no explanation of what a bulk update entails, what fields can be updated, or how the request body should be structured. The tool is part of a large family of downloadclient operations, and without more context, an agent cannot correctly select and invoke this tool. The description covers only the surface, leaving critical operational details missing.

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

Parameters1/5

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

The input schema contains only a generic 'body' object with additionalProperties true and no descriptions (0% schema coverage). The description does not explain what the body should contain, how to specify which download clients to update, or the expected structure. For a bulk update operation, this is a critical omission, leaving the agent with no semantic guidance for constructing a correct request.

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 'Bulk update downloadclient', which clearly identifies the verb (update) and resource (downloadclient), and implies batch operation. It distinguishes from sibling tools like list, get, create, single update, and delete. However, it lacks explicit clarification of what 'bulk' entails (e.g., updating multiple download client configurations at once), so it is not as fully differentiated as the high-calibration example.

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 provides no guidance on when to use this tool versus alternatives such as radarr_update_downloadclient (single update) or radarr_bulk_delete_downloadclient. It only warns that it modifies the Radarr instance, which is a caution rather than usage direction. No prerequisites, body expectations, or context for bulk operations are given.

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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