Skip to main content
Glama
us-all

datadog-mcp-server

by us-all

get-dashboard

Fetch a Datadog dashboard by ID with all widgets and configuration. Optionally specify fields to extract and reduce response size.

Instructions

Get a specific Datadog dashboard with all widgets and configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dashboardIdYesDashboard ID. Example: abc-def-ghi
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
Behavior2/5

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

With no annotations provided, the description carries full burden. It only states 'get' which implies read-only, but it does not disclose error behavior, permission requirements, or the impact of using the extractFields parameter on response size. Minimal behavioral context beyond the obvious.

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, front-loaded sentence with no unnecessary words. It is appropriately concise for a simple tool, though it sacrifices detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is a simple getter with no output schema, the description is adequate but lacks details such as the structure of the returned dashboard object, potential pagination, or how to handle errors. It provides the essential purpose but omits useful completion 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?

The input schema already describes both parameters (dashboardId and extractFields) with 100% coverage. The tool description adds no additional meaning or clarification beyond what the schema provides, so it meets the baseline but does not exceed it.

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 uses a specific verb 'Get' and clearly identifies the resource as 'a specific Datadog dashboard' with the scope 'all widgets and configuration'. This distinguishes it from sibling tools like get-dashboards (list) and create/update/delete dashboards.

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 a single dashboard's full details are needed, but it does not explicitly state when to use this tool versus alternatives (e.g., get-dashboards for listing or update-dashboard for modifications). No exclusions or context are provided.

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