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framinosona

BetaSeries MCP Server

by framinosona

BetaSeries: reports

betaseries_reports

Create content reports for characters, comments, shows, and more, or request updates for movies and series. Select an operation and provide target details to submit your request.

Instructions

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

Available operations:

  • post-reports-report [POST /reports/report]: Create a report for the element. Params: type? (Type of element: character|comment|film|forum|quizz|show|suggest|suggest_film|member (Mandatory)), target_id? (ID of the concerned element (Mandatory)), reason? (Reason for the report (Optional)), source? (Source of the report: web, app, api... (Optional))

  • post-reports-update [POST /reports/update]: Request an update for the element. Params: type? (Type of element: movie|show (Mandatory)), id? (ID of the concerned element (Mandatory))

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
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It states that operations create a report or request an update, but it does not mention side effects, authentication requirements, or rate limits. For mutation actions, this lack of transparency is a significant gap.

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 clear list of operations and their parameters. It is moderately sized but every section serves a purpose, though it could be slightly more compact without losing information.

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 covers both operations and all their parameters, which is sufficient for invoking the tool. However, it lacks details about authentication, error handling, or return values, which would be helpful given no output schema or annotations. Overall, it is largely complete for its intended use.

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 only defines generic 'operation' and 'params' objects, but the description enumerates each operation's parameters, including types, mandatory/optional status, and meaning. This adds crucial meaning beyond the schema and is essential for correct invocation.

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 'reports' API and lists two specific operations with endpoints, making it evident what the tool does. It distinguishes from sibling tools by focusing solely on reports, not other BetaSeries resources.

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 instructs the user to 'Pick an operation' and pass parameters, providing a clear context for using the tool. It does not explicitly mention alternatives or exclusions, but the operation list defines when to use it, which is sufficient for a resource-specific tool.

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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