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kali_forensics

Analyze digital evidence using forensics tools like Volatility and Autopsy to extract information from files for investigation purposes.

Instructions

Digital forensics tools

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesTool to use (volatility, autopsy, etc.)volatility
fileNoFile to analyze
optionsNoAdditional options
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to describe any behavioral traits such as whether it runs commands, analyzes files, requires specific permissions, has side effects, or handles errors. This leaves the agent with no understanding of how the tool operates beyond its vague purpose.

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?

The description is overly concise to the point of under-specification. 'Digital forensics tools' is a single phrase that fails to convey necessary information, making it inefficient rather than appropriately sized. It lacks structure and doesn't front-load key details, wasting the opportunity to inform the agent.

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 tool with 3 parameters, no annotations, and no output schema, the description is completely inadequate. It doesn't explain what the tool does, how to use it, what it returns, or any behavioral aspects, leaving the agent with insufficient context to invoke it correctly.

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 ('tool', 'file', 'options') with descriptions. The description adds no additional meaning beyond what's in the schema, such as examples or constraints, but this is acceptable given the high schema coverage, resulting in a baseline score of 3.

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 'Digital forensics tools' is vague and tautological, essentially restating the tool name 'kali_forensics' without specifying what action it performs. It lacks a clear verb (e.g., 'run', 'analyze', 'execute') and doesn't distinguish it from sibling tools like 'kali_file_analysis' or 'kali_reverse_engineering', which might overlap in forensic contexts.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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. With many sibling tools (e.g., 'kali_file_analysis', 'kali_reverse_engineering') that could be related to forensics, the description offers no context, prerequisites, or exclusions to help an agent choose appropriately.

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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