Skip to main content
Glama
us-all

datadog-mcp-server

create-synthetics-test

Create a new Datadog Synthetics API test to monitor HTTP, SSL, TCP, DNS endpoints with configurable assertions and notifications.

Instructions

Create a new Synthetics API test (HTTP, SSL, TCP, DNS, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesTest name. Example: API Health Check - Production
typeYesTest type (api)
subtypeNoTest subtype. Example: httphttp
urlYesURL to test. Example: https://api.example.com/health
methodNoHTTP method. Example: GET, POST, PUTGET
locationsYesTest locations. Example: ["aws:us-east-1", "aws:eu-west-1"]
messageNoNotification message. Example: API is down @slack-alerts
tagsNoTags for the test. Example: ["env:prod", "team:platform"]
statusNoInitial test statuspaused
assertionsNoResponse assertions. Example: [{"type":"statusCode","operator":"is","target":200}]
Behavior3/5

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

Annotations indicate readOnlyHint=false (write operation) and openWorldHint=true (may create resources beyond input). The description says 'create', which aligns with write, but does not add context about side effects, permissions, or state changes. Since annotations already cover the basic behavioral profile, the description adds minimal value.

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?

The description is a single sentence that is concise and front-loaded with the key information. However, it could be slightly expanded to include usage context without becoming verbose. It is efficient but borderline too brief for a complex tool.

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?

For a creation tool with 10 parameters, 4 required, and no output schema, the description is incomplete. It does not mention what happens after creation (e.g., return value like test ID), how to reference the created test, or any follow-up steps. The sibling tools include delete and update, so users would benefit from knowing about the returned identifier.

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%, so the baseline is 3. The description mentions subtypes (HTTP, SSL, etc.) but does not add meaning beyond what the schema provides. Each parameter already has descriptive examples in the schema, so the description adds no additional semantic value.

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 action (create), the resource (Synthetics API test), and includes examples of subtypes like HTTP, SSL, TCP, etc. This distinguishes it from sibling tools like create-monitor or create-dashboard.

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 when creating a synthetics test, but it does not provide explicit guidance on when to use this tool over alternatives like create-monitor, nor does it mention any prerequisites or exclusions. The sibling list includes many creation tools, but no differentiation is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/us-all/datadog-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server