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datadog-mcp-server

create-dashboard

Create a new Datadog dashboard with customizable widgets, layout, tags, and template variables for dynamic filtering.

Instructions

Create a new Datadog dashboard with widgets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesDashboard title. Example: Production Overview
layoutTypeYesLayout type: ordered (auto-arranged) or free (manual placement)
descriptionNoDashboard description
widgetsYesArray of widget definitions (each with a 'definition' key)
tagsNoTags for the dashboard. Example: ["env:prod"]
templateVariablesNoTemplate variables for dynamic filtering
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the creation action but does not disclose any behavioral traits such as permission requirements, idempotency, validation behavior, or side effects like overwriting or error handling.

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 short sentence, which is concise but lacks structure or additional detail. It is front-loaded but does not provide enough information for an agent to reliably use the 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?

Given the tool has 6 parameters (3 required) and no output schema, the description is insufficiently complete. It does not explain the return value, error conditions, or any additional context needed to use the tool effectively.

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 schema already explains each parameter (title, layoutType, widgets, etc.). The description adds no additional semantic meaning or usage context beyond what is in the schema, meeting the baseline of 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?

The description states 'Create a new Datadog dashboard with widgets', which clearly specifies the action (create) and the resource (Datadog dashboard). It is specific and distinguishes from sibling tools like create-monitor or create-slo, as well as from update-dashboard and get-dashboard.

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. For example, it does not mention that updating an existing dashboard should be done with update-dashboard. No prerequisites or context for use are provided.

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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