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badchars

living-off-the-land-lolbins-mcp-server

by badchars

analyze_binary

Analyze any binary across LOL catalogs to retrieve technique details, chain potential, detection surface, functional alternatives, and risk score.

Instructions

Deep analysis of a specific binary across all LOL catalogs. Returns full technique details, chain potential, detection surface analysis, functional alternatives, and computed risk score.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
binaryYesBinary name to analyze (e.g. python, certutil, osascript)
platformNoFilter analysis by platformall
analysis_typeNoType of analysis: full (everything), chains (chain potential), detection (detection surface), alternatives (functional equivalents), history (ATT&CK mapping), risk (risk scoring)full
environment_idNoOptional environment session ID for context-aware analysis
Behavior3/5

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

No annotations provided. Description lists return content (technique details, chain potential, etc.) but does not disclose side effects, authorization requirements, or read-only nature. Adequate but could be improved by stating non-destructive behavior.

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

Conciseness5/5

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

Single sentence, front-loaded key information, no redundant words. Efficient and clear.

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

Completeness4/5

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

Description covers purpose and return content but lacks details on output format or error handling. With no output schema, more detail on return structure would improve completeness. However, for an analysis tool, the current info is sufficient for selection and invocation.

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 baseline is 3. The description does not add parameter-specific details beyond the schema; it only provides context for the overall function.

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?

Description clearly states verb 'analyze' and resource 'specific binary across all LOL catalogs', and distinguishes from sibling tools like 'lookup_binary' by emphasizing 'deep analysis' with multiple return components.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is for in-depth analysis, but does not explicitly compare to siblings like 'analyze_environment' or 'analyze_forensic_artifact'. Context is clear, but no when-not-to-use guidance is given.

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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