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framinosona

BetaSeries MCP Server

by framinosona

BetaSeries: subtitles

betaseries_subtitles

Get subtitles for episodes, seasons, and shows, view latest subtitle uploads, and report bad subtitles using the BetaSeries API.

Instructions

Call the BetaSeries "subtitles" API. Pick an operation and pass its parameters in the params object.

Available operations:

  • get-subtitles-episode [GET /subtitles/episode]: Display subtitles for a given episode. Params: id (ID of the episode), language? (Display only certain languages: all|vovf|vo|vf (Optional))

  • get-subtitles-last [GET /subtitles/last]: Display the latest subtitles retrieved by BetaSeries. Params: number? (Number of subtitles, maximum 100), language? (Display only certain languages: all|vovf|vo|vf (Optional))

  • get-subtitles-season [GET /subtitles/season]: Display subtitles for a season or all seasons. Params: id (ID of the series), season? (Season number or 'all' to retrieve packages for all seasons (Optional, default is all)), language? (Display only certain languages: all|vovf|vo|vf (Optional))

  • get-subtitles-show [GET /subtitles/show]: Display subtitles for a given show. Params: id (ID of the show), language? (Display only certain languages: all|vovf|vo|vf (Optional))

  • post-subtitles-report [POST /subtitles/report]: Reports subtitles as incorrect to be removed from the list.. Params: id (ID of the subtitle), reason? (Reason why the subtitle is incorrect)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoQuery parameters for the chosen operation, as string key/value pairs. See this tool's description for the accepted parameter names per operation.
operationYesWhich operation to perform
Behavior3/5

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

No annotations are provided, so the description carries the burden of disclosing behavior. It does note that post-subtitles-report removes subtitles from the list, indicating a side effect. However, it does not mention authentication requirements, rate limits, or response format, leaving notable gaps.

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 well-structured: a brief intro followed by a bulleted list of operations, each with endpoint and parameters. It is efficient for the number of operations, contains no filler, and front-loads the core purpose.

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?

The description fully covers all five operations and their parameters, which is the essential information for invoking the tool. It lacks return-value details and error handling, but given the absence of an output schema and the multi-operation nature, it is reasonably complete.

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?

The input schema's params object is a generic string map, so it provides no specific parameter names or values. The description is the sole source of parameter semantics, listing exactly which parameters each operation accepts (e.g., id, language, season, number) and their allowed values, adding far more meaning than the schema.

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 calls the BetaSeries 'subtitles' API and enumerates five specific operations with their endpoints, distinguishing it from sibling tools like betaseries_shows or betaseries_episodes. Each operation is explicitly named, making the tool's purpose unmistakable.

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 provides clear context for when to use each operation (episode, last, season, show, report) by outlining their specific use cases. It does not explicitly contrast with sibling tools, but the resource-specific scope makes the appropriate usage obvious.

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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