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datadog-mcp-server

update-rum-metric

Modify filter query, group-by fields, and percentile aggregations for a RUM metric to refine event tracking and analysis.

Instructions

Update a rum-based metric's filter, group-by, or percentile settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricIdYesThe name of the rum-based metric to update
includePercentilesNoWhether to include percentile aggregations. Only for distribution metrics
filterQueryNoUpdated RUM search query to filter events
groupByNoUpdated fields to group the metric by
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 that settings are updated but does not disclose side effects, idempotency, permissions, or return behavior. Minimal behavioral disclosure.

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 a single sentence of 12 words, extremely concise with no wasted words. It front-loads the key action and resources.

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 4 parameters and no output schema, the description is too brief. It omits prerequisites, success/error responses, and any behavioral nuances. More context is needed for a mutation 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 coverage is 100%, so baseline is 3. The description mentions filter, group-by, and percentile settings, which map to schema parameters but adds no additional meaning beyond what the schema already provides.

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 updates a RUM-based metric's filter, group-by, or percentile settings, using a specific verb and resource. It distinguishes read/create/delete siblings like get-rum-metric, create-rum-metric, and delete-rum-metric.

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 modifying existing metrics but offers no explicit when-to-use or when-not-to-use guidance compared to siblings like create-rum-metric or aggregate-rum. The context is clear but lacks exclusions or alternatives.

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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