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RAD Security

RAD Security

Official
by rad-security
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_container_details

Retrieve detailed security information about a specific container in Kubernetes or cloud environments to analyze configurations and identify potential vulnerabilities.

Instructions

Get detailed information about a container secured by RAD Security

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "container_id": "<container_id>"
    },
    "name": "get_container_details"
  }
}

Input Schema

NameRequiredDescriptionDefault
container_idYesID of the container to get details for

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves 'detailed information,' implying a read-only operation, but doesn't specify what details are included, whether authentication is required, or if there are rate limits. This leaves gaps in understanding the tool's behavior beyond basic retrieval.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy to parse quickly for an AI agent.

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?

Given the tool's simplicity (one parameter, no output schema, no annotations), the description is minimally adequate. It clarifies the tool's purpose but lacks details on output format, error handling, or behavioral context, which could be important for a security-focused tool in a complex environment with many siblings.

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?

The input schema has 100% description coverage, with the 'container_id' parameter clearly documented. The description adds no additional meaning beyond the schema, such as format examples or constraints, so it meets the baseline score of 3 where the schema handles parameter documentation adequately.

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 the action ('Get detailed information') and resource ('about a container secured by RAD Security'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_container_llm_analysis' or 'get_containers_baselines', which also retrieve container-related information but with different scopes or types of data.

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 description provides no guidance on when to use this tool versus alternatives, such as 'list_containers' for a summary view or other 'get_*' tools for specific container details. Without explicit context or exclusions, the agent must infer usage based on tool names alone.

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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