frida_kernel_enumerate_module_ranges
Enumerate memory ranges of a kernel module by name and memory protection.
Instructions
Call Kernel.enumerateModuleRanges().
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| module_name | Yes | ||
| protection | No | r-- |
Enumerate memory ranges of a kernel module by name and memory protection.
Call Kernel.enumerateModuleRanges().
| Name | Required | Description | Default |
|---|---|---|---|
| module_name | Yes | ||
| protection | No | r-- |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It provides none: no indication of whether it requires a connected device, what side effects occur, or what the output looks like. The description is merely a function call invocation.
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Is the description appropriately sized, front-loaded, and free of redundancy?
While the description is extremely short, this is a case of under-specification rather than conciseness. It saves space but lacks essential information, making it unhelpful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given two parameters, no output schema, and no annotations, the description is thoroughly inadequate. It does not explain the tool's purpose, parameters, return value, or behavior, failing to provide a complete picture for agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, and the description adds no meaning to the parameters 'module_name' or 'protection'. It does not explain expected formats, valid values, or how they affect the operation, leaving the agent to guess.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology, merely restating the function name 'Call Kernel.enumerateModuleRanges()' without explaining what the tool does. It fails to indicate that it enumerates memory ranges of a specific kernel module with a protection filter, and does not distinguish it from siblings like frida_kernel_enumerate_modules or frida_kernel_enumerate_ranges.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. There is no mention of prerequisites, context, or exclusions, leaving the agent without any usage 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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