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fuzzmind-frida-mcp

by fuzzmind

frida_enumerate_dependencies

Enumerate the dependencies of a selected module inside a target process to identify all loaded libraries and submodules.

Instructions

Enumerate dependencies of a module in a target process.

target: process name or pid (string). module_name: module to query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
module_nameYes
Behavior2/5

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

No annotations are present, so the description must disclose behavior. It only states that it enumerates dependencies, but does not mention if it requires a running process, possible failures, or side effects. This is insufficient for a tool with many siblings.

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, with two short sentences that front-load the purpose and explain parameters in a clear list format. No extraneous words.

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?

The description lacks information about return values, output format, or behavior. For a tool with no output schema and many siblings, it should provide more context to ensure proper usage.

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 adds meaning to both parameters beyond the schema's type-only definitions. It specifies that 'target' is a process name or pid and 'module_name' is the module to query, which helps an agent construct correct invocations.

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 ('Enumerate dependencies') and the context ('module in a target process'). It distinguishes from sibling tools like frida_enumerate_exports by focusing on dependencies, though it does not explicitly differentiate.

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?

No guidance is provided on when to use this tool versus alternatives or any prerequisites. Given the large number of sibling tools, this omission limits the agent's ability to choose correctly.

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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