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dreamiurg

Datadog MCP Server

by dreamiurg

get-containers

List containers monitored by Datadog, displaying names, images, tags, state, and start time. Filter by tags, group by attribute, and sort results.

Instructions

List containers monitored by Datadog. Use for 'show running containers', 'containers for web service', 'container status by image'. Returns container names, images, tags, state, and start time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterTagsNoComma-separated tags (e.g., 'env:prod,service:web')
groupByNoGroup by attribute (e.g., 'short_image')
sortNoSort field (e.g., 'name', '-name')
pageSizeNoResults per page
pageCursorNoPagination cursor
Behavior2/5

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

With no annotations provided, the description carries full disclosure burden. It only states it lists containers (implying read-only), but omits details on pagination, rate limits, required permissions, or how parameters like sort and filterTags affect behavior.

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 extremely concise with two sentences: first states the purpose, second provides usage examples and return fields. No wasted words, front-loaded with essential information.

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?

The tool has 5 parameters and no output schema, but the description only lists a few return fields without explaining types, format, or behavior like pagination. Important context about parameter effects (sort, filter) is missing.

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?

The input schema has 100% coverage with descriptions for each parameter, and the tool description adds no additional meaning beyond what the schema already provides, meeting the baseline expectation.

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 lists containers monitored by Datadog, provides example use cases, and specifies returned fields (names, images, tags, state, start time), making it easy for an agent to understand exactly what the tool does.

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?

The description gives explicit example queries ('show running containers', 'containers for web service', 'container status by image') indicating when to use this tool, but does not mention how it differs from sibling 'list-containers' or when not to use it.

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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