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datadog-mcp-server

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search-rum-events

Search Real User Monitoring events from mobile and web apps, including sessions, views, errors, and actions, using queries with time ranges and sorting.

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 bears full responsibility for behavioral disclosure. It fails to mention that the tool is read-only, any rate limits, pagination behavior, or result format, which are critical for an agent to use it correctly.

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 of 15 words, front-loading the purpose. It is concise, though additional details about usage or behavior could be added without compromising brevity.

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 6 parameters, no output schema, and no annotations, the description is too terse. It omits information about result structure, pagination, error handling, and any prerequisites, leaving significant gaps for first-time use.

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 the schema; it does not elaborate on parameter values, constraints, or usage contexts.

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 'Search', the resource 'Real User Monitoring events', and specifies event types (sessions, views, errors, actions) and source (mobile/web apps), which distinguishes it from sibling tools like search-logs or search-spans.

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 explicit guidance on when to use this tool versus alternatives like search-logs or aggregate-rum. The mention of 'mobile/web apps' implies scope but does not compare tool purposes or set boundaries.

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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