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fuzzmind

fuzzmind-frida-mcp

by fuzzmind

frida_kernel_protect

Modify the memory protection of a kernel address range by specifying the starting address, size in bytes, and desired protection flags.

Instructions

Call Kernel.protect().

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYes
sizeYes
protectionYes
Behavior1/5

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

With no annotations, the description carries the full burden. It discloses no behavioral traits whatsoever—no mention of permissions, destructiveness, side effects, or error conditions. The description adds zero transparency.

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

Conciseness2/5

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

While short, the description is under-specified rather than appropriately concise. It fails to earn its single sentence by omitting critical information, making it inadequate.

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

Completeness1/5

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

Given the complexity of a kernel protection operation with three parameters and no output schema, the description is woefully incomplete. It lacks any context about the tool's inputs, behavior, or return values.

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

Parameters1/5

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

Schema description coverage is 0%. The description adds no meaning to any of the three required parameters (address, size, protection). The agent receives no clue about valid values or formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Call Kernel.protect()' is essentially a tautology of the tool name. It does not explain what Kernel.protect() does, leaving the purpose ambiguous. It fails to distinguish from sibling tools like frida_memory_protect.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or exclusions, leaving the agent without decision support.

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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