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fuzzmind-frida-mcp

by fuzzmind

frida_cmodule_compile

JIT-compile C source inside a target process to execute high-performance hooks or callbacks in C instead of JavaScript.

Instructions

Compile inline C code and load it into a target process via CModule.

JIT-compiles C source inside the target process. Useful for writing high-performance hooks or callbacks in C instead of JS.

target: process name or pid (string). c_code: C source code to compile. symbols: optional dict mapping symbol names to hex addresses for linking (e.g. {"my_func": "0x100004000"}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
c_codeYes
symbolsNo
toolchainNo
Behavior2/5

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 indicates that the tool JIT-compiles and loads code into the target process, implying modification of the process state. However, it does not disclose potential side effects, required permissions, safety considerations, or error conditions, leaving ambiguity about its impact.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively concise, with only 5 sentences including the parameter list. It front-loads the main action ('Compile inline C code and load...') and provides key details succinctly. Some sentences could be merged, but overall it's efficient.

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?

Given the complexity of compiling and loading C code into a process, the description is insufficient. It misses the toolchain parameter, does not describe return values or output, and lacks mention of platform dependencies, security implications, or error handling. With no output schema, these gaps are significant.

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?

The schema has 0% description coverage and 4 parameters. The description adds meaning for 3 parameters (target, c_code, symbols), with a clear example for symbols. However, it completely omits the toolchain parameter, which is documented only in the schema. Thus the description improves understanding but is incomplete.

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 that it compiles inline C code and loads it into a target process via CModule. It uses specific verbs and resources, making the purpose evident. However, it does not explicitly distinguish from sibling tools like frida_rust_module_compile or frida_compiler_build, though the name hints at C-specific compilation.

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 mentions it is useful for writing high-performance hooks or callbacks in C instead of JS, providing a clear use case. However, it lacks explicit guidance on when not to use this tool or alternatives, such as when to use frida_rust_module_compile or frida_compiler_build.

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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