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datadog-mcp-server

list-processes

Read-only

List running processes across your infrastructure, filtered by search query or tags for targeted monitoring.

Instructions

List running processes across infrastructure with search and tag filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch query string to filter processes. Example: nginx, python
tagsNoComma-separated list of tags to filter by. Example: env:production,service:api
fromNoUnix timestamp (seconds) for start of data collection window
toNoUnix timestamp (seconds) for end of data collection window
pageSizeNoNumber of results per page (default 50, max 1000)
pageCursorNoPagination cursor from previous response
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the description need not repeat. It adds the behavioral trait of search/tag filtering, but does not detail pagination or data scope, which is acceptable given annotation coverage.

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 that efficiently conveys the core function and key features without extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema, the description does not clarify what the response contains (e.g., process details). It covers input parameters but omits output structure, which is needed for a complete understanding.

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 coverage is 100%, so description adds minimal value beyond the schema. It references search and tags but does not elaborate on other parameters like from, to, pageSize, or pageCursor.

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 running processes across infrastructure with search and tag filtering, differentiating from sibling tools like list-hosts or list-containers.

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 guidance on when to use this tool versus alternatives. The description implies usage for listing processes with filters, but does not mention when not to use it or compare to other list tools.

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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