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dreamiurg

Datadog MCP Server

by dreamiurg

list_dora_deployments

Retrieve DORA metric deployments to analyze deployment frequency and lead time for specified services, environments, and time ranges.

Instructions

List DORA metric deployments for tracking deployment frequency and lead time

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filter_fromNo
filter_toNo
filter_serviceNo
filter_envNo
page_sizeNo
page_cursorNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the tool lists deployments, without mentioning read-only nature, authentication requirements, rate limits, or any side effects. This leaves the agent uninformed about safe usage.

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 a single sentence of 10 words, efficiently conveying the purpose. No fluff or redundancy exists; every word adds value.

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 the tool has 6 parameters, no output schema, and no annotations, the description is too sparse. It does not explain pagination, filtering, or what the return data looks like. More context is needed for an agent to use it effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 6 parameters with 0% schema description coverage. The description adds no information about parameters, such as expected formats, valid values, or purposes. The parameter names (e.g., filter_from, page_cursor) are suggestive but insufficient for correct invocation.

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?

Description clearly states the tool lists DORA metric deployments for tracking deployment frequency and lead time. It specifies both the action (list) and the resource (DORA deployments), distinguishing it from other list tools in the sibling set.

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?

No explicit when-to-use or when-not-to-use guidance is given. The description implies usage for DORA metric tracking, but lacks exclusions or alternatives. Since no sibling tool covers DORA deployments, the context is understood but not stated.

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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