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us-all

datadog-mcp-server

by us-all

list-processes

List running processes across infrastructure with search and tag filtering.

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
Behavior2/5

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

No annotations are provided, so the description should disclose behavioral traits. It only mentions listing with filters, omitting info on pagination, rate limits, data freshness, or scope limitations. This is insufficient without annotations.

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?

One sentence, front-loaded with the verb and resource. No unnecessary words. Efficiently communicates the core action and capabilities.

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 brief. It lacks details about pagination, output format, required permissions, or edge cases. More context 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 description coverage is 100%, so the baseline is 3. The description adds 'with search and tag filtering' but that echoes the schema. No additional meaning beyond what the schema already provides.

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 verb (list), resource (running processes), scope (across infrastructure), and filtering (search and tag). It distinguishes from sibling tools like list-hosts and 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 over alternatives. The description implies it's for processes, but with many list-* siblings, some differentiation or context (e.g., 'Use this to list processes, not containers') would be helpful.

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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