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fuzzmind

fuzzmind-frida-mcp

by fuzzmind

frida_enumerate_imports

Enumerate imports of a module in a target process, with optional case-insensitive filter and result limit.

Instructions

Enumerate imports of a module in a target process.

target: process name or pid (string). module_name: module to query (e.g. 'Safari', 'libsystem_kernel.dylib'). filter: optional case-insensitive name substring filter. limit: max imports to return (default 1000).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
module_nameYes
filterNo
limitNo
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It lacks information about side effects, permissions, return behavior, or any constraints beyond parameter descriptions. The description is minimal and does not add behavioral context.

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 very concise—two lines for purpose and a bullet-like list for parameters. Every sentence is necessary and front-loaded with the core action. No wasted 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 covers parameters but omits critical context: no mention of what the return value contains (e.g., list of import names), error conditions, or any behavioral notes. For a tool with no output schema and 4 parameters, this is incomplete.

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

Parameters5/5

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

With 0% schema description coverage, the description provides essential meaning for all four parameters: target (process name or pid), module_name (with example), filter (optional case-insensitive substring), and limit (default 1000). This fully compensates for the lack of schema 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 tool's purpose: 'Enumerate imports of a module in a target process.' This is a specific verb and resource combination that distinguishes it from sibling tools like frida_enumerate_exports or frida_enumerate_modules.

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 does not mention scenarios where enumerating imports is appropriate or contrast it with other enumeration functions.

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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