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pcap_llmnr_ntlm

Analyze PCAP files to detect LLMNR poisoning attacks and extract NTLM credentials from SMB traffic for network security investigations.

Instructions

Detect LLMNR poisoning and extract NTLM credentials from SMB. Returns llmnr_queries, ntlm_auth_entries, counts, and poisoning_indicators. Read-only file analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pcap_pathYesPath to the PCAP file
Behavior4/5

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 effectively states the tool is 'read-only file analysis,' clarifying it doesn't modify data, and lists specific return values (llmnr_queries, ntlm_auth_entries, etc.), which helps predict behavior. However, it doesn't mention potential errors, performance aspects, or authentication needs.

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 front-loaded with the core purpose, followed by return values and a key behavioral note ('read-only file analysis'). Every sentence adds value with zero waste, making it efficient and well-structured.

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?

Given the tool's complexity (security analysis with multiple return types), no annotations, and no output schema, the description does a good job by specifying the purpose, return values, and read-only nature. However, it could be more complete by detailing error cases or output formats, though it's largely adequate for the context.

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 the pcap_path parameter. The description doesn't add any parameter-specific details beyond what's in the schema, such as file format requirements or path examples. Baseline 3 is appropriate when the schema handles parameter documentation.

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's purpose with specific verbs ('detect', 'extract') and resources ('LLMNR poisoning', 'NTLM credentials from SMB'), distinguishing it from sibling tools like pcap_detect_scan or pcap_extract_credentials by focusing on LLMNR/NTLM analysis.

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

Usage Guidelines3/5

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

The description implies usage for analyzing PCAP files for LLMNR/NTLM attacks but doesn't explicitly state when to use this tool versus alternatives like pcap_dns_analysis or pcap_extract_credentials. It provides basic context but lacks explicit guidance on exclusions or comparisons.

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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