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datadog-mcp-server

by us-all

create-dashboard

Build custom Datadog dashboards with widgets for metrics, logs, and APM by specifying title, layout, and widget definitions.

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?

No annotations are provided, so description carries full burden. It only states the action without disclosing side effects, permissions, idempotency, or error handling. For a creation tool, this is insufficient.

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 is concise and front-loaded, but the brevity omits useful context. Still, it's efficient and focused.

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?

No output schema exists, and the description fails to explain return values or creation behavior. For a tool with 6 parameters and no return info, the description is incomplete.

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% with clear examples and explanations for all parameters. The description adds no extra meaning beyond the schema, earning the 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?

Description clearly states action (create), resource (Datadog dashboard), and key content (with widgets). It distinguishes from sibling tools like 'update-dashboard' or 'get-dashboards' by the verb and resource.

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 vs alternatives like 'create-monitor' or 'update-dashboard'. No prerequisites or exclusions mentioned, leaving the agent to infer usage from 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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