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datadog-mcp-server

create-monitor

Create a Datadog monitor for metric alerts, log alerts, query alerts, or service checks by specifying name, type, query, message, tags, priority, and advanced options.

Instructions

Create a new Datadog monitor (metric alert, log alert, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesMonitor name
typeYesMonitor type (e.g. metric alert, log alert, query alert, service check)
queryYesMonitor query. Example: avg(last_5m):avg:system.cpu.user{env:prod} > 90
messageNoNotification message (supports @mentions)
tagsNoTags for the monitor
priorityNoPriority 1-5 (1=highest)
optionsNoAdvanced monitor options (thresholds, etc.)
Behavior2/5

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

No annotations provided, and description lacks behavioral traits (e.g., that it's a write operation, side effects, permissions). Minimal disclosure.

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?

One concise sentence, no wasted words. Could be improved by front-lining key info like required parameters.

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?

With 7 params, nested objects, no output schema, and no annotations, the description is insufficient. No info on return values, errors, or usage context.

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% with property descriptions. Description adds no extra meaning beyond what the schema already provides. Baseline 3.

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?

Clear verb+resource: 'Create a new Datadog monitor' with examples of types. Distinct from sibling tools like delete-monitor, update-monitor.

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?

No explicit guidance on when to use vs alternatives (e.g., update-monitor). Usage is implied but not detailed.

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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