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analyze_tcp_retransmissions

Analyze TCP retransmissions from PCAP files. Detect high retransmission rates, identify problematic connections, and compare against configurable thresholds.

Instructions

Analyze TCP retransmission patterns.

Args: pcap_file: HTTP URL or absolute local file path to PCAP file server_ip: Optional filter for server IP address threshold: Retransmission rate threshold (default: 2%)

Returns: A structured dictionary containing: - total_retransmissions: Total number of retransmissions - retransmission_rate: Overall retransmission rate - by_connection: Per-connection retransmission statistics - summary: Worst connections and threshold violations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pcap_fileYes
server_ipNo
thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that pcap_file can be an HTTP URL or local file, implying network fetching capability. However, it does not mention side effects, permissions, file size limits, or if the tool modifies any data. The behavioral transparency is adequate but not thorough.

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 concise and well-structured: a single-line summary, followed by Args in a bullet-like list, and Returns in a structured list. Every sentence adds value, and the essential information is front-loaded.

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 presence of an output schema (described in Returns) and the moderate complexity (3 parameters), the description covers all necessary information. It could be enhanced by discussing performance or interpretation, but it is largely complete for an agent to use effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema coverage is 0%, so the description adds all parameter meaning. It clearly explains each parameter: pcap_file (URL or local path), server_ip (optional filter), and threshold (with default 2%). This is a significant addition over the bare schema.

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

Purpose4/5

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

The description clearly states 'Analyze TCP retransmission patterns', which is a specific verb+resource. It distinguishes from sibling tools like analyze_tcp_anomalies and analyze_tcp_connections by focusing on retransmissions, though it could be more explicit about the unique purpose.

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?

There is no guidance on when to use this tool versus alternatives (e.g., analyze_tcp_anomalies or analyze_tcp_connections). The description does not include when-to-use, when-not-to-use, or mention any prerequisites, leaving the agent to infer usage context.

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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