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badchars

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

by badchars

find_c2_channels

Identify command-and-control channels by leveraging trusted services, binaries, and protocol abuse. Supports service-based, domain-based, tunneling, webhooks, DNS, and protocol abuse detection.

Instructions

Find C2 communication channels using LOL binaries and trusted services — LOLC2, LOTS, tunneling, webhooks, DNS, protocol abuse.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoC2 channel mode: service (LOLC2), domain (LOTS), tunnel, webhook, dns, protocol abuseservice
domainNoDomain to check for LOTS (Living off Trusted Sites) potential
service_nameNoSpecific service name to look up for C2 potential
environment_idNoEnvironment session ID returned by enumerate_host
stealth_priorityNoPrioritize stealthier C2 channels
available_binariesNoList of available binaries on the target system
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. However, it only describes the tool's intent without mentioning safety, side effects, permissions, or limitations (e.g., network access required). The agent cannot infer whether this is a read-only search or a potentially destructive operation.

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?

The description is a single, front-loaded sentence that immediately conveys the tool's core purpose. No extraneous words, making it highly efficient for an AI agent to parse.

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 6 parameters and no output schema, the description is too brief. It fails to explain how parameters relate (e.g., which to combine), typical return structure, or example usage. Sibling differentiation is weak without more context about the tool's specific role in C2 discovery.

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 coverage is 100% with parameter descriptions. The description adds a summary of modes but no new details beyond the schema. Baseline of 3 is appropriate as the description does not compensate for low coverage or add significant meaning.

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?

The description clearly states the tool finds C2 communication channels and lists specific categories (LOLC2, LOTS, tunneling, etc.), which directly informs the agent of the tool's purpose and distinguishes it from sibling tools like find_lateral_movement or find_credential_access.

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. The description only states what the tool does, leaving the agent to infer usage context from the name and sibling list.

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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