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MCP Server Replicate

open_image_with_system

Opens image URLs directly in your system's default application. Use this tool to view images generated by the MCP Server Replicate without downloading them first.

Instructions

Open an image URL with the system's default application.

    Args:
        image_url: URL of the image to open

    Returns:
        Dict containing status of the operation
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_urlYes

Implementation Reference

  • The handler function that implements the 'open_image_with_system' tool by opening the provided image URL using the system's default web browser.
    async def open_image_with_system(image_url: str) -> dict[str, Any]:
        """Open an image URL with the system's default application.
    
        Args:
            image_url: URL of the image to open
    
        Returns:
            Dict containing status of the operation
        """
        try:
            # Open URL directly with system default
            webbrowser.open(image_url)
    
            return {"status": "success", "message": "Image opened with system default application", "url": image_url}
        except Exception as e:
            logger.error(f"Failed to open image: {str(e)}")
            return {"status": "error", "message": f"Failed to open image: {str(e)}", "url": image_url}
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool opens an image with the system's default application and returns a status dict, but lacks details on permissions needed, potential side effects (e.g., launching external apps), error handling, or rate limits. This is inadequate for a tool that interacts with the system environment.

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 extremely concise and well-structured: a clear purpose statement followed by formatted Args and Returns sections. Every sentence earns its place, with no redundant information, making it easy to parse and understand quickly.

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's complexity (interacting with system applications) and the lack of annotations and output schema, the description is incomplete. It doesn't explain what the 'status dict' contains, potential security implications, or how errors are handled, leaving significant gaps for an AI agent to use it correctly in varied contexts.

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 description explicitly documents the single parameter 'image_url' and its purpose ('URL of the image to open'), adding meaningful context beyond the schema's 0% coverage. Since there's only one parameter and the description fully explains it, this compensates well for the schema's lack of descriptions.

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 the specific action ('Open an image URL') and the target resource ('with the system's default application'), providing a complete verb+resource combination. It distinguishes itself from sibling tools like 'generate_image' or 'get_prediction' by focusing on opening existing images rather than creating or retrieving them.

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. While it's clear what the tool does, there's no mention of prerequisites (e.g., needing a valid image URL), when not to use it (e.g., for non-image files), or alternative tools for similar functions among the siblings.

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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