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datadog-mcp-server

by us-all

get-events

Retrieve Datadog events within a specified time range with optional filters for priority, source, tags, and pagination.

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
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. It only states the basic operation and optional filters, without disclosing behaviors like pagination, unaggregated results, or rate limits. This is insufficient for a read tool with no annotations.

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 key information. It could be improved with a brief mention of pagination or output, but it is not verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool lacks an output schema and the description does not explain return values or pagination. It also omits parameters like 'unaggregated' and 'page'. This leaves gaps for an agent to understand how to use the tool correctly.

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 coverage is 100% with descriptions for each parameter. The description summarizes how to filter (priority, source, tags) but does not add significant meaning beyond the schema. Baseline 3 is appropriate.

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 it gets Datadog events with a time range and optional filters. The verb 'Get' and resource 'Datadog events' are specific, and it distinguishes from sibling tools like 'search-logs' which handle logs.

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 use when retrieving Datadog events, but provides no guidance on when to use this over other tools or when not to use it. No alternatives are mentioned.

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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