Skip to main content
Glama
dreamiurg

Datadog MCP Server

by dreamiurg

get_hourly_usage

Get hourly usage for Datadog product families to perform cost analysis and monitor consumption.

Instructions

Get Datadog hourly usage by product family for cost analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filter_timestamp_startYesStart time (ISO 8601, required)
filter_timestamp_endNoEnd time (ISO 8601)
filter_product_familiesYesComma-separated product families (e.g. infra_hosts,logs)
page_limitNoMax results per page
page_next_record_idNoPagination record ID
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It only states the purpose but does not disclose side effects, authentication requirements, rate limits, or data scope. The read-only nature is implied but not explicit.

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?

A single concise sentence that is front-loaded with the tool's purpose. No unnecessary words, making it efficient for an agent to parse.

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?

With 5 parameters, no output schema, and no annotations, the description lacks details on return format, pagination behavior, or filtering semantics. It feels incomplete for a data retrieval tool.

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 input schema already explains each parameter. The description adds no further meaning beyond what the schema provides, meeting the baseline but not exceeding 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 clearly states the tool retrieves Datadog hourly usage by product family for cost analysis, with a specific verb and resource. It distinguishes from siblings like get_usage or get_estimated_cost by focusing on hourly granularity and product family breakdown.

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 like get_usage or get_estimated_cost. The description does not mention preferred scenarios or exclusions, leaving the agent without decision support.

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/dreamiurg/datadog-mcp'

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