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websex_scout_suite

Run Scout Suite cloud security audits inside a selected engagement namespace, passing argv directly without shell parsing and storing evidence artifacts.

Instructions

Run scout suite from the WebSex cloud container iac toolkit. The container executes scout directly with the supplied argv tokens; shell parsing is never used. Runs from the selected engagement namespace; use relative paths for engagement artifacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stdinNo
argumentsYes
engagement_idYes
working_directoryNo.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations the description carries the full burden, and it usefully discloses the execution model: scout runs directly with supplied argv tokens and shell parsing is never used, which tells the agent argument handling is safe from shell metacharacters. It does not cover output format, timeouts, permissions, or what state changes occur, leaving meaningful behavioral gaps for a command-execution tool.

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?

Three tight sentences, front-loaded with the action and immediately followed by the execution semantics and namespace/path constraint. No filler, though the phrasing "cloud container iac toolkit" is slightly redundant with context already implied by the name.

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

Completeness3/5

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

An output schema exists, so return values need not be described, and the description does address execution and path scoping. However, for a 4-parameter command-runner at 0% schema coverage, it omits what stdin does and how engagement_id selects the namespace, which an agent needs before calling it.

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 0% across 4 parameters, so the description must compensate. It partially does: "supplied argv tokens" maps to arguments and "use relative paths" speaks to working_directory, but engagement_id and especially stdin (which streams input) are never explained, leaving half the parameters undocumented anywhere.

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?

States a specific verb ("Run") and resource ("scout suite") and situates it in the WebSex cloud container IaC toolkit, so an agent knows this executes the Scout Suite cloud-audit binary. It does not differentiate from close siblings like websex_prowler, websex_checkov, or websex_terrascan, which also serve cloud/IaC security auditing, so selection still requires outside knowledge.

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?

Gives invocation context ("runs from the selected engagement namespace", "use relative paths for engagement artifacts") but no when-to-use guidance and no comparison to the numerous alternative scanners in the sibling list. There is nothing telling the agent when to pick this over prowler or checkov.

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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