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get_fully_watched

Retrieve a list of fully watched movies or TV shows from your Plex library, filtered by media type and limited by quantity, to track viewing progress and manage content effectively.

Instructions

Get all fully watched movies and shows from a library

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
libraryKeyNoLibrary section key (optional, searches all if not provided)
limitNoNumber of items to return (default: 100)
mediaTypeNoFilter by media type (movie, show, all)all
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves data ('Get'), implying a read-only operation, but doesn't cover aspects like authentication needs, rate limits, pagination, or what 'fully watched' means (e.g., completion criteria). For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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

Conciseness5/5

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

The description is a single, efficient sentence: 'Get all fully watched movies and shows from a library.' It's front-loaded with the core purpose, has zero wasted words, and is appropriately sized for the tool's complexity. Every part of the sentence contributes directly to understanding the tool's function.

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 tool has no annotations and no output schema, the description is incomplete. It doesn't explain what 'fully watched' entails, the return format, or how results are structured. For a tool that likely returns a list of media items, more context is needed to help the agent use it effectively, making this inadequate despite the concise description.

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?

The input schema has 100% description coverage, with clear documentation for all three parameters (libraryKey, limit, mediaType). The description adds no additional semantic context beyond what's in the schema, such as explaining 'fully watched' in relation to parameters. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, but the description doesn't compensate or enhance parameter understanding.

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 clearly states the tool's purpose: 'Get all fully watched movies and shows from a library.' It specifies the verb ('Get'), resource ('fully watched movies and shows'), and scope ('from a library'), making it easy to understand. However, it doesn't explicitly differentiate from sibling tools like 'get_recently_watched' or 'get_watch_history,' which might also involve watched content, so it doesn't reach the highest score.

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. It doesn't mention any prerequisites, exclusions, or comparisons to sibling tools such as 'get_recently_watched' or 'get_watch_history,' leaving the agent to infer usage based on the name alone. This lack of explicit context reduces its helpfulness.

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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