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datadog-mcp-server

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search-audit-logs

Search Datadog audit logs to track organization activity, including user actions and resource changes, with customizable queries and time ranges.

Instructions

Search Datadog audit logs for organization activity tracking (user actions, resource changes)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoAudit log search query. Example: @action:created @resource_type:dashboard*
fromYesStart time (ISO 8601 or relative). Example: 2026-03-01T00:00:00Z or now-24h
toYesEnd time (ISO 8601 or relative). Example: 2026-03-02T00:00:00Z or now
limitNoMax results (default 50, max 1000)
sortNoSort order: -timestamp (newest first) or timestamp (oldest first)-timestamp
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It implies a read-only search but fails to mention rate limits, authentication needs, or response details (e.g., pagination). The description adds minimal behavioral context beyond the schema.

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 sentence, highly concise and front-loaded with the verb 'Search'. However, it may be overly terse given the lack of annotations and output schema.

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?

Given five parameters and no output schema, the description should provide more context about return values, pagination, and edge cases. It is incomplete for an effective agent invocation.

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%, meaning each parameter is already documented in the input schema. The tool description does not add additional meaning or examples beyond what the schema provides, so the baseline of 3 is appropriate.

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 identifies the tool's purpose: searching Datadog audit logs for organization activity, specifically user actions and resource changes. The verb 'Search' and resource 'audit logs' are specific, but it does not differentiate from sibling search tools like search-logs.

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?

The description provides no guidance on when to use this tool versus alternatives, such as search-logs or search-rum-events. No when-to-use, when-not-to-use, or prerequisite information is given.

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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