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0xhackerfren

Frida Game Hacking MCP

by 0xhackerfren

check_installation

Verify Frida installation and functionality for game hacking tools, returning status and version details to ensure proper setup.

Instructions

Check if Frida is installed and working.

Returns:
    Installation status and version information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The primary handler function for the 'check_installation' tool. It verifies if Frida is installed, retrieves the version, checks device availability, and returns a status dictionary.
    @mcp.tool()
    def check_installation() -> Dict[str, Any]:
        """
        Check if Frida is installed and working.
        
        Returns:
            Installation status and version information.
        """
        result = {
            "tool": "frida",
            "installed": FRIDA_AVAILABLE,
            "installation": "pip install frida frida-tools"
        }
        
        if FRIDA_AVAILABLE:
            result["frida_version"] = frida.__version__
            result["working"] = True
            try:
                device = get_device()
                result["device"] = device.name
                result["device_type"] = device.type
            except Exception as e:
                result["device_error"] = str(e)
        else:
            result["working"] = False
            result["error"] = "Frida not installed"
        
        return result
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the tool's purpose and return information, but does not detail behavioral traits such as error handling, performance characteristics, or dependencies. It adequately describes what it does without contradictions.

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 front-loaded with the core purpose in the first sentence, followed by a concise note on returns. Both sentences earn their place by providing essential information without redundancy, making it efficient and well-structured.

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?

Given the tool's simplicity (0 parameters, no annotations, but has an output schema), the description is complete enough. It explains what the tool does and what it returns, and with an output schema, detailed return value explanations are unnecessary. However, it could slightly improve by mentioning any specific conditions or limitations.

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 tool has 0 parameters with 100% schema description coverage. The description does not need to add parameter details, and it appropriately focuses on the tool's purpose and output. Baseline is 4 for zero parameters, as no compensation is needed.

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 ('Check if Frida is installed and working') and identifies the resource (Frida). It distinguishes from siblings like 'get_session_info' or 'list_capabilities' by focusing on installation status rather than runtime information or capabilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when verifying Frida's installation, but does not explicitly state when to use this tool versus alternatives like 'get_session_info' (which might include installation details) or provide prerequisites. The context is clear but lacks explicit guidance on alternatives or exclusions.

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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