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fuzzmind

fuzzmind-frida-mcp

by fuzzmind

frida_hook_native_by_offset

Hook native functions by module name and hex offset, resolving the base address at runtime to bypass ASLR.

Instructions

Hook a native function by module name + hex offset.

Requires an active session (from frida_connect).

module: module name (partial match, case-insensitive), e.g. 'CoreAudio', 'libsystem_kernel'. offset: hex offset within the module, e.g. '0x1a2b'. name: optional label for the hook.

Unlike frida_hook_native_function which takes an absolute address, this resolves the module base at runtime and adds the offset — useful when ASLR is in play.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
moduleYes
offsetYes
nameNo
Behavior4/5

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

With no annotations, the description carries the burden. It discloses the prerequisite (active session) and the runtime resolution behavior. It does not mention potential side effects or return values, but the core behavior is clear and consistent with the tool's purpose.

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 concise (few sentences) and well-structured: purpose line, prerequisite, parameter explanations, and comparison with sibling. Every sentence adds value.

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 no output schema, the description covers invocation details well. It does not explain what happens after hooking (e.g., return values or effects), but for a hook tool this may be implicit. Slight omission but not critical.

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?

The input schema has 0% description coverage, but the description compensates fully: explains module as partial match, offset as hex, name as optional label. This adds meaning beyond the schema's bare type definitions.

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 hooks a native function using module name and hex offset. It distinguishes itself from the sibling frida_hook_native_function by explicitly noting the difference in addressing (offset vs absolute). The verb 'Hook' and resource 'native function' are specific.

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

Usage Guidelines5/5

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

The description explicitly states a prerequisite (requires active session from frida_connect) and provides a clear when-to-use vs alternative: 'Unlike frida_hook_native_function... useful when ASLR is in play.' This helps the agent 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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