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dryfryce

Frida MCP Server

by dryfryce

frida_java_load_dex

Load a DEX file dynamically into Android runtime to inject custom Java code during instrumentation sessions.

Instructions

Load a DEX file dynamically into the Android runtime.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
dex_pathYesPath to DEX file on device
class_nameNoClass to load from DEX
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states the action ('Load a DEX file dynamically') but doesn't disclose critical traits like whether this requires specific permissions, if it's destructive to the runtime, potential side effects, or error handling. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that directly states the tool's purpose without redundancy. It's front-loaded and wastes no words, making it easy to parse 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?

For a tool that performs a dynamic loading operation (likely a mutation) with no annotations and no output schema, the description is insufficient. It lacks details on behavioral implications, return values, error conditions, and how it fits within the Frida ecosystem, leaving significant gaps for an AI agent to operate safely and effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 67% (2 out of 3 parameters have descriptions), so the schema provides moderate documentation. The description adds no parameter-specific information beyond what's in the schema, such as explaining the purpose of 'class_name' or format examples for 'dex_path'. Baseline 3 is appropriate given the schema's partial coverage.

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 clearly states the action ('Load') and target ('DEX file dynamically into the Android runtime'), making the purpose understandable. However, it doesn't differentiate from sibling tools like frida_inject_library or frida_inject_script that also involve loading code, so it lacks sibling distinction for a perfect score.

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. It doesn't mention prerequisites (e.g., needing an active Frida session), exclusions, or comparisons to similar tools like frida_inject_script for script loading, leaving the agent to infer usage context.

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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