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fuzzmind-frida-mcp

by fuzzmind

frida_objc_call_method

Invoke a specified Objective-C method on an object at a given memory address, passing optional arguments as JSON, to inspect or modify runtime behavior during dynamic analysis.

Instructions

Call an ObjC method on an object at a given address.

target: process name or pid (string). address: hex address of the ObjC object. selector: ObjC selector (e.g. 'description', 'count', 'objectForKey_'). Use underscores for colons. args_json: optional JSON array of arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
addressYes
selectorYes
args_jsonNo
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 states the action but does not mention side effects, return values, error behavior, or whether the call is synchronous. An agent cannot assess risks like object mutation or blocking.

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 concise, front-loading the action, and uses a clear list for parameters. It is efficient but could be slightly more structured (e.g., using a bullet list). No unnecessary sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description omits return values. It also does not mention prerequisites like a connected device or session. However, the tool is part of a larger Frida ecosystem where such context might be inferred. It is minimally adequate but leaves gaps.

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?

With 0% schema description coverage, the description adds significant meaning: it explains target as process name/pid, address as hex, selector with underscore convention, and args_json as optional JSON array. This compensates well for the missing schema details.

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 'Call an ObjC method on an object at a given address.' This is a specific verb+resource combination, and it distinguishes itself from sibling tools like frida_objc_choose or frida_intercept_objc_method by focusing on direct method invocation.

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 parameter explanations but does not offer guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent to infer usage without sufficient direction.

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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