Skip to main content
Glama
us-all

datadog-mcp-server

post-event

Send custom events to Datadog with support for markdown and @mentions. Use to alert, notify, or track deployments, errors, or other activities.

Instructions

Post a custom event to Datadog (supports markdown, @mentions)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesEvent title. Example: Deployment completed
textYesEvent body (supports markdown, max 4000 chars). Example: Deployed v1.2.3 to production
tagsNoTags for the event. Example: ["env:prod", "deploy"]
alertTypeNoAlert type
priorityNoEvent priority
hostNoAssociated host name
aggregationKeyNoAggregation key for grouping events
sourceTypeNameNoSource type name. Example: my_app
Behavior2/5

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

With no annotations, the description carries full burden but only mentions markdown/@mention support. Lacks details on idempotency, rate limits, required permissions, or side effects.

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?

Single sentence, very concise. No wasted words, though a slightly more structured format could improve clarity.

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 8 parameters, no output schema, and no annotations, the description is too minimal. Lacks explanation of return values, error conditions, or success behavior.

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 baseline is 3. The description does not add additional meaning beyond the schema's parameter descriptions.

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?

The description clearly states the action ('Post a custom event') and the platform ('Datadog'), with specific features (markdown, @mentions). It is distinct from sibling tools like send-logs, but could be more precise about what constitutes a custom event.

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 on when to use this tool versus alternatives (e.g., send-logs, create-monitor), nor any exclusion criteria or prerequisites.

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