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AWS Health MCP Server

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by aws-samples

get_service_events

Retrieve AWS Health events for a specific service, such as EC2, RDS, or Lambda, to identify outages or issues affecting it.

Instructions

Get health events for a specific AWS service.

Args: service: The AWS service name (e.g., 'EC2', 'RDS', 'LAMBDA'). Case insensitive.

Example prompts:

  • "What's happening with EC2 right now?"

  • "Show me all RDS issues"

  • "Are there any problems with S3?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serviceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

B3.3/5.0
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 behavioral burden. It does not state whether results are current or historical, how far back events go, whether authentication is required, or any rate limits.

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?

Front-loaded one-sentence purpose followed by a parameter note and helpful example prompts. The args section and examples add value and there is little waste.

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-value explanation is unnecessary. However, for a 1-param tool with no annotations, the description could do more to clarify scope (current vs historical) and how it relates to sibling tools.

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

Parameters4/5

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

Schema kind of covers the single parameter but has 0% description coverage; the description compensates well by giving example service names and noting case insensitivity, adding meaning beyond the bare string type.

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?

Clear verb+resource: 'Get health events for a specific AWS service.' However, it does not differentiate from close siblings like get_service_health or get_org_service_events, so it is not fully disambiguated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Example prompts imply the tool answers questions about current service issues, but there is no explicit when-to-use or when-not-to-use guidance relative to alternatives such as get_service_health or get_completed_events.

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