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update_series_quality

Update the allowed or preferred quality settings for a series. Specify quality names such as 720p HDTV or 1080p BluRay to control which releases are accepted or prioritized.

Instructions

Update allowed and/or preferred qualities for an existing series.

Sends PATCH /api/v2/series/{slug} with config.qualities.* fields. Only the provided fields are changed; omitted fields are left as-is.

quality values: "N/A", "Unknown", "SDTV", "SD DVD", "720p HDTV", "RawHD", "1080p HDTV", "720p WEB-DL", "1080p WEB-DL", "720p BluRay", "1080p BluRay", "4K UHD TV", "8K UHD TV", "4K UHD WEB-DL", "8K UHD WEB-DL", "4K UHD BluRay", "8K UHD BluRay".

Args: series_slug: Series slug (e.g. "tvdb370761"). allowed_qualities: Quality names for the allowed list. preferred_qualities: Quality names for the preferred list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
series_slugYes
allowed_qualitiesNo
preferred_qualitiesNo
Behavior4/5

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

The description discloses the HTTP method (PATCH), the endpoint structure, and the partial update behavior. In the absence of annotations, it provides good visibility into the tool's operation, though it could mention error handling or return values.

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 concise—only a few sentences—and well-structured: first line states purpose, then method, partial update note, quality value enumeration, and parameter explanations. Every sentence adds value.

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

Completeness5/5

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

For a simple update tool with three parameters and no output schema, the description provides all necessary context: purpose, mapping to API call, field behavior, accepted values, and parameter details. It is fully self-contained.

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

Parameters5/5

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

With 0% schema coverage, the description compensates fully by explaining the series_slug format with an example, the quality values list, and the meaning of allowed_qualities and preferred_qualities.

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 it updates allowed and/or preferred qualities for an existing series, with a specific verb ('Update') and resource ('series qualities'). It is distinct from sibling tools like add_series or force_search.

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 description explains that only provided fields are changed while omitted fields remain as-is, giving clear usage context. However, it does not explicitly contrast with other series-related sibling tools, though the purpose is narrowly defined.

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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