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datadog-mcp-server

by us-all

get-monitors

List Datadog monitors filtered by name, tags, or state. Retrieve monitor details with pagination and field extraction.

Instructions

List Datadog monitors with optional filtering by name, tags, or state

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoFilter monitors by name substring
tagsNoComma-separated tags. Example: env:prod,team:backend
monitorTagsNoComma-separated service/custom tags
groupStatesNoFilter by group states: all, alert, warn, no data
pageSizeNoNumber of results per page (default 50)
pageNoPage number (0-based)
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as authentication needs, rate limits, pagination behavior, or response format. For a tool with 7 parameters including pagination and extractFields, this is insufficient.

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 a single sentence of 10 words, front-loaded and concise. No wasted words, though it could include more detail without losing conciseness.

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 7 parameters with pagination and extractFields, and no output schema, the description does not integrate usage context for these features (e.g., how pagination works, purpose of extractFields). Incomplete for the tool's complexity.

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% (all parameters have descriptions). The description simplifies filtering to 'name, tags, or state', which partially maps to parameters but adds no new semantics beyond the schema. Baseline 3 applies.

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 'List Datadog monitors with optional filtering', specifying the action (list) and resource (monitors). It distinguishes from sibling tools like 'get-monitor' (single) and other list tools by focusing on monitors with filtering.

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 vs alternatives like 'get-monitor' or search tools. The description implies listing with filters, but lacks when-not-to-use or alternative recommendations.

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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