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kali_sniffing_spoofing

Analyze network traffic and manipulate data packets using tools like Wireshark, tcpdump, and arpspoof for security testing and network diagnostics.

Instructions

Network sniffing and spoofing tools

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesTool to use (wireshark, tcpdump, arpspoof, etc.)tcpdump
interfaceNoNetwork interface
optionsNoAdditional options
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It hints at network operations but doesn't specify if these tools require elevated privileges, are read-only or destructive, have rate limits, or what output to expect. For security tools, this lack of transparency is problematic.

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 a single, efficient phrase with no wasted words. However, it's overly concise to the point of under-specification, lacking necessary details for a tool of this complexity. It's front-loaded but incomplete.

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 network sniffing/spoofing tools, no annotations, and no output schema, the description is inadequate. It doesn't explain behavioral traits, usage context, or expected outcomes, leaving critical gaps for an AI agent to operate safely and effectively.

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?

Schema description coverage is 100%, so the schema already documents all parameters. The description adds no additional meaning about parameters beyond what's in the schema, such as explaining tool options or interface selection. Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose3/5

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

The description 'Network sniffing and spoofing tools' states the general domain but lacks specificity. It doesn't mention what resources are targeted (e.g., packets, network traffic) or distinguish from siblings like 'kali_network_scan' or 'kali_wireless_tools'. The purpose is vague rather than clearly articulated.

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. It doesn't mention prerequisites, context, or exclusions, leaving the agent to guess based on the name alone. This is a significant gap for a tool with potential overlap with other network-related siblings.

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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