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create_library_sections_by_section_id_optimize

Idempotent

Optimize a Plex library section by its ID to refresh metadata, clean up files, and improve performance.

Instructions

Optimize Section.

POST /library/sections/{sectionId}/optimize

Args: section_id: The unique identifier of the library section

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
section_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

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

The description does not disclose any behavioral traits beyond what the annotations already provide. It does not contradict the annotations, but it also gives no context about side effects, whether the operation is asynchronous, or what changes to expect, leaving the agent without important behavioral knowledge.

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 short and front-loads the action and parameter documentation. It avoids unnecessary words, but the brevity leaves out essential context that would make it more helpful.

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?

Given the ambiguity of 'optimize' and the presence of sibling tools like get_library_sections_by_section_id_optimize, the description is incomplete. It fails to explain the operation's purpose, expected effects, or how it relates to related endpoints, so an agent would lack sufficient context to confidently invoke it.

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?

With schema description coverage at 0%, the description partially compensates by explaining section_id as 'the unique identifier of the library section'. This adds meaningful role context that the schema does not provide, though it could be more detailed.

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

Purpose3/5

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

The description states a specific verb and resource ('Optimize Section') and includes the endpoint, but it does not explain what optimizing a library section actually does. This is more than a pure tautology because the HTTP path adds context, yet it remains vague and does not sufficiently distinguish this from sibling operations like refresh or analyze.

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. There is no mention of prerequisites, expected outcomes, or when a refresh or analysis would be more appropriate than an optimize action.

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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