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datadog_get_monitor

Read-onlyIdempotent

Retrieve details for a specific Datadog monitor by monitor ID using API and application keys, so you can inspect its configuration and status.

Instructions

Get details for a specific Datadog monitor.

Input Schema

NameRequiredDescriptionDefault
api_keyYesDatadog API key
app_keyYesDatadog Application key
monitor_idYesMonitor ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.9
  2. Removed
  3. Addedv0.1.5

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and repeatability profile is fully covered structurally. The description adds no extra behavior (e.g. permission scope, rate limits, what fields the monitor payload contains), so it sits at minimum viable given annotation coverage.

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?

A single front-loaded sentence with no filler. It is efficiently sized for a simple getter, though it is arguably too terse to carry any routing or credential guidance.

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

Completeness3/5

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

Simple read tool with full schema coverage, annotations covering safety, and no output schema. Still, without an output schema the description should hint at what a monitor payload includes (status, thresholds, tags) and how credentials should be supplied – it does neither.

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% – all three parameters (api_key, app_key, monitor_id) are documented in the schema. The description adds no syntax for monitor_id (numeric vs string, where to find it) or guidance on credential sourcing, so baseline 3 applies.

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?

States a specific verb ('Get') and resource ('details for a specific Datadog monitor'), which distinguishes it from datadog_list_monitors and datadog_create_monitor by name. It is clear what the call returns at a high level, though it doesn't explicitly contrast itself with the list sibling.

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?

Usage is only implied by the word 'specific' – an agent can infer this is the fetch-by-ID counterpart to list_monitors, but the description never says when to use this versus datadog_list_monitors or datadog_query_metrics, nor where the monitor_id comes from.

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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