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datadog-mcp

by techskies11

list_active_metrics

Read-onlyIdempotent

List metrics with recent data since a given time. Filter by host or tags to see what's actively reporting, excluding stale metrics.

Instructions

List metrics that have reported data since a given time.

Use this when: you want to know what's actually emitting data recently, as opposed to list_available_metrics which lists every metric name Datadog knows about (including ones that stopped reporting long ago).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostNoOptional hostname filter
sinceNoOnly include metrics with data since this time - Unix timestamp (seconds), relative date math (e.g. "now-1h"), or an ISO 8601 datetime string (default: "now-1h")now-1h
tag_filterNoOptional tag filter (e.g. "env:prod")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is well covered. The description adds context about recency filtering but does not disclose additional behavioral traits like pagination or response limits. It does not contradict the annotations.

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 concise, using two short paragraphs with no filler. The key information is front-loaded, and every sentence serves a purpose.

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

Completeness5/5

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

The tool is simple with 3 optional parameters, an output schema exists, and annotations provide safety hints. The description conveys the core use case and differentiates from related tools, making it fully complete for an agent to select and invoke it.

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 input schema covers all parameters (host, since, tag_filter) with full descriptions, so the baseline is 3. The tool description adds no extra meaning beyond the schema, but that is acceptable given the high schema coverage.

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 tool lists metrics that have reported data since a given time, using a specific verb and resource. It also distinguishes itself from the sibling list_available_metrics by emphasizing 'actually emitting data recently.'

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly provides guidance on when to use this tool—when you want to know what's actively reporting data—and contrasts it with list_available_metrics, making the choice between them clear.

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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