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dreamiurg

Datadog MCP Server

by dreamiurg

list-processes

List running processes on your infrastructure, filtering by search term or tags to find specific processes quickly.

Instructions

List running processes with optional filtering by search term or tags. Use for 'what processes are running', 'find java processes', 'process list for host'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch term to filter processes
tagsNoComma-separated tags to filter
fromNoStart timestamp (Unix seconds)
toNoEnd timestamp (Unix seconds)
pageLimitNoMax results per page
pageCursorNoPagination cursor
Behavior2/5

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

No annotations are provided, and the description only says 'list running processes' without disclosing any behavioral traits like authentication, rate limits, or side effects. As a read-only tool, it is minimally transparent.

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 short (two sentences) and front-loaded with the core action. Example queries are included but do not add verbosity. It is efficient and earns a 4.

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 6 parameters and no output schema, the description lacks context about pagination (pageLimit, pageCursor), timestamp filters, and the return format. It is insufficient for an agent to use effectively.

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 schema already explains each parameter. The description adds no additional meaning beyond the schema, meeting the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists running processes with optional filters, and provides example queries. It is specific but does not explicitly distinguish from sibling tools like 'get-containers' or 'list_containers', though the context makes it unique.

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?

It gives example user intents but no guidance on when not to use or alternatives. Siblings include many list and search tools, but no contrast is provided, leaving the agent to infer usage.

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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