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plex_quality

Destructive

Manage Plex quality profiles to control transcoding rules and resolution limits. Create, update, list, delete, or set default profiles for consistent playback across devices.

Instructions

Comprehensive quality profile management tool for Plex Media Server.

PORTMANTEAU PATTERN RATIONALE: Consolidates 6 quality profile operations into a single tool to standardize transcoding rules and resolution limits across multiple devices.

Return Format

{"success": bool, "operation": str, "profile_name": str|None, "profiles": list|None, "settings": dict|None, "result": dict|None}

Examples

await plex_quality(operation="list_profiles") await plex_quality(operation="get_profile", profile_name="Remote") await plex_quality(operation="create_profile", profile_name="4K Limited", settings={"max_bitrate": 40000}) await plex_quality(operation="delete_profile", profile_name="Old Profile")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
settingsNoQuality profile settings dictionary.
operationYesThe quality profile operation to perform.
is_defaultNoSet this profile as the system default.
profile_nameNoName of the quality profile.
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, indicating mutating and destructive operations. The description adds the portmanteau rationale and return format, but does not elaborate on specific side effects (e.g., whether delete is reversible or if update overwrites all settings). It does not contradict annotations.

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 well-structured with a rationale, return format, and examples. It is somewhat verbose but each section adds value; the examples and return format are essential for a multi-operation tool.

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?

With 6 operations, 4 params, no output schema, and destructive annotations, the description compensates by providing a return format and usage examples. It covers the main usage patterns and is adequate, though it doesn't detail error handling or per-operation nuances.

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?

Schema coverage is 100%, but the examples add practical meaning: e.g., 'settings={"max_bitrate": 40000}' clarifies the settings dictionary structure, going beyond the bare schema description. This helps the agent form correct invocations.

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 'Comprehensive quality profile management tool for Plex Media Server' and lists the six operations in the schema and rationale. This is a specific verb+resource that distinguishes it from sibling tools focused on other Plex aspects.

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

Usage Guidelines4/5

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

The portmanteau pattern rationale explains the tool consolidates quality profile operations to standardize transcoding rules and resolution limits, providing clear context for when to use it. It does not explicitly name alternatives or exclusions, but the context is strong.

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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