aws_regions
List current AWS regions from the official Knowledge MCP.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List current AWS regions from the official Knowledge MCP.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare this as a read-only, idempotent, open-world operation, so the safety profile is covered. The description adds useful context that the source is the official Knowledge MCP and that results are current, but it does not describe return format or any other behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. Every part of the sentence contributes to identifying the resource and its source.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple parameterless list tool with annotations covering safety, the description is nearly complete. It could clarify whether the output is a bare list of region codes, but no output schema exists and the core operation is clear.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there is no parameter semantics to document. The baseline for a parameterless tool is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'List current AWS regions', plus the source ('official Knowledge MCP'). It is clear what the tool returns, but it does not explicitly differentiate from the sibling tool 'aws_regional_availability'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance on when to use this tool versus alternatives such as 'aws_regional_availability' or 'aws_knowledge_read'. It only implies usage through its purpose statement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.