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datadog-mcp-server

get-events

Read-only

Fetch Datadog events within a time range, filtered by priority, source, or tags.

Instructions

Get Datadog events within a time range, optionally filtered by priority, source, or tags

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startYesStart time as Unix epoch seconds. Example: 1740000000
endYesEnd time as Unix epoch seconds. Example: 1740003600
priorityNoEvent priority filter
sourcesNoComma-separated event sources. Example: datadog,nginx
tagsNoComma-separated tags to filter. Example: env:prod,service:api
unaggregatedNoReturn unaggregated events
pageNoPage number for pagination
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description's statement 'Get' aligns with read-only behavior. The description adds context about filtering but does not disclose additional behavioral traits such as pagination (though a page parameter exists) or rate limits. With annotations covering the core behavior, the description adds minor value.

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, concise sentence that front-loads the main purpose and optional filters. Every word is necessary, and there is no redundancy.

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 has 7 parameters, no output schema, and annotations present, the description covers the main retrieval purpose. However, it does not mention pagination behavior, return format, or limits, which would improve completeness for an agent. It is adequate but not thorough.

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 baseline is 3. The description highlights filters (priority, source, tags) that map to parameters, but does not add meaning beyond what the schema already provides for each parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get', the resource 'Datadog events', and the scope 'within a time range', with optional filters. Among sibling tools, there is no competing event retrieval tool, and it distinguishes from 'post-event' which creates events.

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?

The description implies usage for retrieving events within a time range with optional filters, but it does not explicitly state when to use this tool versus alternatives like 'post-event' for creation or other search tools. The context is clear enough for an AI agent to infer, but lacks explicit guidance.

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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