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agentic_packetsniffer_mcp_workflow

Run multi-step FastMCP sampling workflows when the client supports it to coordinate packet capture and analysis across network, PCAP, USB, and Bluetooth tasks.

Instructions

Run a multi-step workflow using FastMCP sampling when the client supports it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_iterationsNo
available_toolsNo
workflow_promptYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries full behavioral burden. It hints at FastMCP sampling and a fallback condition but omits crucial traits: whether the workflow mutates state, how iterations are bounded, permission/auth requirements, cost/latency implications, and what 'sampling' means operationally.

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

Conciseness4/5

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

A single short sentence with the key capability front-loaded. It is efficient, though almost too terse for a multi-step process. Given the complexity of the operation, the brevity edges into under-specification rather than pure conciseness.

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?

Output schema exists, so return values need not be explained. However, for a complex multi-step, tool-using workflow with three undocumented parameters, no annotations, and no usage routing against five siblings, the description is far too thin to tell an agent how to invoke it correctly or safely.

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

Parameters2/5

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

Schema description coverage is 0% for all three parameters. The description mentions no parameter behavior: it does not explain that workflow_prompt drives the sampling, that max_iterations bounds the loop, or what available_tools filters. With three undocumented params, the description fails to compensate.

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

Purpose3/5

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

Names a verb and resource ('Run a multi-step workflow'), which is clearer than a tautology, but 'workflow' is generic and the description gives no sense of what the workflow actually does or how it differs from sibling tool 'chat' or 'packetsniffer_ops'.

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?

The only conditional is 'when the client supports it,' which is about capability, not task fit. There is no guidance on when to choose this over 'chat' or 'packetsniffer_ops', and no explanation of what happens when the client does not support FastMCP sampling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.