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rollecode

Sonarr MCP server

by rollecode

create_manualimport

Idempotent

Import media files manually into Sonarr's library by creating a manual import request with the specified payload. Use this to add missing or unrecognized files to your collection.

Instructions

Create ManualImport.

POST /api/v3/manualimport

Args: body: Request payload. Read the matching GET or the /schema endpoint first to see the fields this resource expects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the mutation nature is covered. However, the description adds only a prerequisite about reading the schema; it does not disclose what happens after creation (e.g., side effects, reversibility, or processing implications). For a non-read tool, this lack of behavioral context is a gap that annotations partially mitigate but do not fully fill.

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 brief and to the point, with a clear 'Args' section. It avoids unnecessary fluff and front-loads the action and endpoint. While sparse, it does not waste words, making it appropriately concise for the limited information it provides.

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?

The tool has a nested object parameter and an output schema, so an agent needs more context than what is given. The description instructs the agent to consult external endpoints, but it never explains what a manual import is, what the effect of creation is, or how the response relates to the request. This reliance on external lookups leaves the definition incomplete for safe and correct invocation.

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 0%, and the only parameter 'body' is an open object. The description adds value by indicating that 'body' is a request payload and directing the agent to the matching GET or /schema endpoint for field details. This is a useful pointer but does not actually describe any fields, so it only partially compensates for the missing schema documentation.

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

Purpose2/5

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

The description says 'Create ManualImport' which is essentially a restatement of the tool name with a verb. It does not explain what a ManualImport is or what creating one accomplishes, nor does it distinguish this from siblings like create_movie_import or create_importlist_movie. The HTTP endpoint is provided but adds no semantic clarity. This is barely above a tautology.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternatives. The only instruction, 'Read the matching GET or the /schema endpoint first,' addresses parameter preparation, not usage selection. No conditions, exclusions, or alternative tool mentions are given, leaving the agent to guess when this is the right choice among dozens of create_* 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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