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datadog_create_monitor

Create a Datadog monitor with a query, notification message, and priority. Define monitor type, tags, and alert conditions to track metrics or events.

Instructions

Create a new Datadog monitor (alert).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesDatadog API key
app_keyYesDatadog Application key
nameYesMonitor name
typeNoMonitor type (e.g. metric alert, service check, event alert)
queryYesMonitor query expression
messageNoNotification message
tagsNoTags to attach to the monitor
priorityNoMonitor priority (1-5)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses only that the tool creates a monitor, but omits behavioral traits such as whether creation is synchronous, idempotent, requires authentication (though implied by api_key/app_key), or any side effects. This is minimal for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no fluff, but it is overly minimal. It could include key constraints or behavior without becoming verbose. While concise, it sacrifices informative detail.

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 the complexity (8 parameters, no output schema, no annotations), the description is insufficient. It does not explain return values, error handling, or what constitutes a successful creation. For a creation tool, this leaves the agent without critical 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 description coverage is 100% (all 8 parameters have descriptions in the input schema). The tool description itself adds no extra meaning beyond what the schema already provides. Baseline 3 is appropriate as the schema does the heavy lifting.

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 'Create a new Datadog monitor (alert).' It specifies the verb (create), resource (Datadog monitor), and adds clarifying parentheses. Among sibling tools like datadog_get_monitor and datadog_list_monitors, it distinguishes by action, leaving no ambiguity about what the tool does.

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?

No guidance is provided on when to use this tool versus alternatives. It does not specify prerequisites, context for creation (e.g., required existing dashboards), or when not to use it. The description is purely declarative without usage context.

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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