Skip to main content
Glama

datadog_dashboard_get

Fetch a Datadog dashboard by its ID to retrieve its full definition, including all widgets. Use with dashboard list to discover IDs.

Instructions

Fetch a single Datadog dashboard by id (string, e.g. abc-def-ghi). Returns the full definition including widgets. Use datadog_dashboard_list to discover ids first. Read-only. Mirrors omni-dev datadog dashboard get. Output is YAML.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dashboard_idYesDatadog dashboard identifier (e.g. `abc-def-ghi`).
Behavior4/5

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

Describes output format as YAML and mentions it returns full definition including widgets. Labels as read-only, which implies no destructive effects. No annotations provided, but description covers key behavioral aspects adequately.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, all essential, front-loaded with action. No redundancy or fluff.

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

Completeness5/5

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

For a simple get tool with one parameter and no output schema, the description covers input format, output format, and prerequisite. Sufficient for an agent to use correctly.

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 has 100% description coverage for the single parameter, so baseline is 3. Description adds example id format ('abc-def-ghi') but no additional semantics beyond the schema.

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?

Clearly states it fetches a single Datadog dashboard by id, with example format. Distinguishes itself from `datadog_dashboard_list` for discovering ids first.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises using `datadog_dashboard_list` to discover ids first. Declares read-only nature, but no explicit when-not-to-use guidance 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/rust-works/omni-dev'

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