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datadog-mcp-server

search-rum-events

Search Real User Monitoring events (sessions, views, errors, actions) from mobile/web apps using a query and time range.

Instructions

Search Real User Monitoring events (sessions, views, errors, actions) from mobile/web apps

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesRUM search query. Example: service:my-app @type:error @session.type:user
fromYesStart time (ISO 8601). Example: 2026-02-26T00:00:00Z
toYesEnd time (ISO 8601). Example: 2026-02-26T23:59:59Z
limitNoMax results (default 50, max 1000)
sortNoSort order: -timestamp (newest first) or timestamp (oldest first)-timestamp
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states it searches, but lacks disclosure of behavior like read-only nature, rate limits, or destructive potential. For a search tool, low transparency.

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?

Single sentence with front-loaded verb and purpose. No unnecessary words. Every word earns its place.

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

Completeness4/5

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

With 6 parameters and 3 required, the description is mostly complete given schema coverage. No output schema, but search results implied. Could mention return format, but adequate for a search tool.

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 baseline is 3. The description adds no extra meaning beyond what schema provides. It lists event types, but parameters are well-documented in schema itself.

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 searches RUM events (sessions, views, errors, actions) from mobile/web apps. It differentiates from sibling tools like search-logs, search-audit-logs by specifying the event type and source.

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 RUM events but does not explicitly state when to use this tool versus alternatives. No exclusions or alternative tool references are 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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