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dreamiurg

Datadog MCP Server

by dreamiurg

get-audit-events

Search Datadog audit events to find who changed what and when. Identify configuration changes, track user actions, and retrieve audit trails with actor, action, and resource details.

Instructions

Search Datadog organization audit events. Use for 'who changed this monitor', 'what config changes happened today', 'audit trail for user X'. Returns timestamped events with actor, action, and affected resource.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNo
sortNoSort order
pageNo
limitNoMaximum events to return
Behavior3/5

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

The description explains the return format (timestamped events with actor, action, resource), but omits behavioral traits like pagination, rate limits, or authentication requirements. With no annotations, more behavioral context would be beneficial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, front-loads the purpose, and includes use cases and output format without any fluff.

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?

The description covers the output fields but lacks details on pagination (page parameter) and filter syntax. For a tool with nested parameters and no output schema, more completeness is needed.

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?

The description does not elaborate on parameters beyond the schema. Since schema description coverage is 50%, the baseline is 3, and the description adds no additional parameter context.

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 clearly states the tool searches Datadog audit events and provides specific use cases. However, it does not explicitly distinguish from sibling tools like search_audit_logs, which may have overlapping functionality.

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?

Examples of when to use the tool are given, but there is no guidance on when not to use it or comparison to alternatives, such as search_audit_logs or other search tools in the sibling list.

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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