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datadog-mcp-server

by us-all

list-processes

List running processes across your infrastructure, filtered by search or tags, to monitor performance and troubleshoot issues.

Instructions

List running processes across infrastructure with search and tag filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoUnix timestamp (seconds) for end of data collection window
fromNoUnix timestamp (seconds) for start of data collection window
tagsNoComma-separated list of tags to filter by. Example: env:production,service:api
searchNoSearch query string to filter processes. Example: nginx, python
pageSizeNoNumber of results per page (default 50, max 1000)
pageCursorNoPagination cursor from previous response
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It implies a read-only operation but does not disclose pagination behavior, default behavior when no filters are applied, or error handling. It adds modest context beyond the schema.

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, front-loaded sentence that efficiently conveys the tool's purpose without superfluous words. Every word adds value.

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?

Given the tool has no output schema and six parameters, the description is too brief. It omits what the response contains (e.g., process details, pagination info) and does not explain the behavior of optional parameters like pageCursor. It covers the core purpose but lacks completeness.

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% description coverage, so the schema already documents each parameter. The description only adds a high-level summary ('search and tag filtering'), which does not significantly enhance understanding beyond the parameter descriptions.

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 'List' and the resource 'running processes', and specifies the scope 'across infrastructure' with the features 'search and tag filtering'. This makes it distinct 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 Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like list-hosts or search-logs. With many sibling tools, the agent would benefit from explicit when-to-use or when-not-to-use instructions.

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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