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roundcut-mcp

roundcut-mcp

by Araluma
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

RoundCut web tools

roundcut_web_tools
Read-only

Use browser-based tools for AI background removal, AI upscaling, batch conversion, and image-to-PDF when local processing is unavailable. Supports 29 languages at no cost.

Instructions

Links to the RoundCut browser tools for what this server does not do locally: AI background removal, AI upscaling, batch conversion and image-to-PDF. Free, 29 languages.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "roundcut_web_tools"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.1/5.0
Behavior4/5

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

The readOnlyHint annotation is supported and not contradicted. The description adds meaningful behavioral context: this tool is a link provider rather than a local processing operation, and it notes the service is free and supports 29 languages. It does not specify the exact format of the returned links, but for a read-only link tool this is sufficient.

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 sentence that front-loads the action and resource, followed by a compact list of use cases. The extra details 'Free, 29 languages' are brief and informative, and every element adds value without unnecessary fluff.

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?

For a zero-parameter, read-only tool with no output schema, the description covers what the tool provides and why it exists. 'Links to...' implies the output is a set of links, but it could be slightly more explicit that the tool returns URLs/link references rather than performing the operations itself.

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?

The input schema is empty with zero parameters, so there are no parameter semantics to document in the description. The schema description coverage is 100% because there are no properties, so the baseline of 4 applies.

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 names a concrete action ('Links to...') and a resource ('RoundCut browser tools'), then enumerates specific capabilities: AI background removal, AI upscaling, batch conversion, and image-to-PDF. It distinguishes itself from sibling tools by stating these are things the server does not do locally, but it does not explicitly name a sibling alternative.

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 clearly states when to use this tool: when needing AI background removal, upscaling, batch conversion, or image-to-PDF conversion that the server does not handle locally. It implies the sibling tools are for local operations, but it does not explicitly say 'use sibling tools for local image operations.'

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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