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dreamiurg

Datadog MCP Server

by dreamiurg

get-usage

Retrieve hourly usage data by product family for billing and capacity planning. Track metrics like infra hosts, log ingestion volume, and APM usage trends.

Instructions

Get hourly usage data by product family. Use for 'how many infra hosts this month', 'log ingestion volume', 'APM usage trends'. Returns usage records with timestamps for billing and capacity planning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startHrYesStart time ISO8601 (e.g., '2024-01-01T00:00:00+00:00')
endHrNoEnd time ISO8601
productFamiliesNoComma-separated families (e.g., 'infra_hosts,logs,apm')
pageLimitNoMax records to return
pageNextRecordIdNoPagination cursor
Behavior2/5

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

No annotations are provided, yet the description does not disclose behavioral traits such as read-only nature, pagination behavior, rate limits, or authentication requirements. It only mentions return of timestamps for billing.

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?

The description is two concise sentences: the first states the core action, the second provides examples and return context. No extraneous information.

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?

The description hints at return values (timestamps for billing) but does not explain pagination parameters or response structure. Given 5 parameters and no output schema, more detail would be beneficial.

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 coverage is 100%, so the description adds minimal value beyond the schema. It mentions 'by product family' but that is already covered by the 'productFamilies' parameter.

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 clearly states the tool retrieves hourly usage data by product family, with concrete examples like 'how many infra hosts this month' and 'APM usage trends'. It effectively distinguishes from siblings by specifying the scope and return value.

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 provides explicit use cases but does not differentiate from the similar sibling 'get_hourly_usage'. No when-not-to-use guidance is given, which may cause confusion among similar tools.

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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