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datadog_query_metrics

Query Datadog metrics time-series data by specifying a metric query, time range, and authentication keys.

Instructions

Query Datadog metrics time-series data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesDatadog API key
app_keyYesDatadog Application key
queryYesDatadog metric query (e.g. avg:system.cpu.user{*})
fromNoStart time as Unix timestamp (default: 1 hour ago)
toNoEnd time as Unix timestamp (default: now)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits such as read-only nature, rate limits, authentication requirements (though implied by params), or response characteristics. Only states 'Query', but no additional behavioral context.

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 concise sentence that efficiently states the purpose. It is well-structured and front-loaded, though extremely brief.

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?

Given 5 parameters, no output schema, and no annotations, the description is incomplete. It does not explain return value format, pagination, error handling, or usage constraints beyond the schema.

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 descriptions for each parameter. The description adds no extra meaning beyond the schema, achieving the baseline of 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?

The description clearly states the verb 'Query', the resource 'Datadog metrics time-series data', distinguishing it from sibling tools like datadog_list_dashboards or datadog_list_monitors.

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 (e.g., datadog_list_events or datadog_list_monitors). The description does not mention context, exclusions, or alternatives.

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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