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Dynatrace Managed MCP Server

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dynatrace_managed_list_events

Read-only

List events from Dynatrace Managed clusters within a given timeframe, exposing severity, impact, and management zones. Filter by event type or entity to pinpoint relevant issues.

Instructions

List events from the Managed cluster within a specified timeframe. Results include event properties, management zones, severity/impact levels, and detailed metadata for comprehensive analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesEnd time (ISO format or relative like "now")
fromYesStart time (ISO format or relative like "now-1h")
limitNoMaximum number of events to return. Use this when user specifies a count (e.g., "first 20 events" → limit: 20). If not specified, returns up to API limit: 100. Cannot exceed 100
eventTypeNoFilter by event type (e.g., "CONTAINER_RESTART" for certain container issues, "CUSTOM_DEPLOYMENT" for deployments, "RESOURCE_CONTENTION_EVENT" for resource issues)
entitySelectorNoEntity selector to filter events. CRITICAL: Only ONE entity type per query. Use discover_entities() first to get exact names/IDs, then use entityId("exact-id") or type(SERVICE),entityName.equals("exact-name"). Examples: entityId("SERVICE-123"), type(SERVICE),entityName("payment-service"), type(AWS_LAMBDA_FUNCTION),tag("AWS_REGION:us-west-2")
environment_aliasYesSpecify which environment to be queried, by supplying the environment alias as returned by get_environments_info. Can use `ALL_ENVIRONMENTS` to retrieve data from all environments in one request to MCP.

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is established. The description adds useful context about returned content (event properties, management zones, severity/impact levels, metadata) but does not disclose pagination, ordering, or other behavioral traits beyond what the annotation covers.

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?

The description is a single front-loaded sentence that first states the operation and timeframe, then describes the result contents. It is concise, though 'for comprehensive analysis' is somewhat filler.

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?

With six parameters and no output schema, the description is adequate but not complete. It summarizes the expected result fields but doesn't address response format, pagination, or how this list operation relates to related detail tools such as dynatrace_managed_get_event_details.

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 description coverage is 100%, so the parameters are already well documented. The description adds only the general notion of a timeframe and result contents, without adding meaning beyond the schema's parameter descriptions.

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 names a specific verb and resource: 'List events from the Managed cluster within a specified timeframe.' It clearly indicates this is a listing operation for events, but it does not explicitly distinguish it from sibling read operations such as dynatrace_managed_get_event_details or list_problems.

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?

There is no guidance about when to use this tool versus the many siblings. No alternatives are named, no exclusions are given, and the description only implies a use case rather than stating conditions under which it should be selected.

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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