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datadog-mcp-server

get-monitors

List Datadog monitors with filters for name, tags, or state to find and track alerts.

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, so description must cover behavioral traits. It only mentions filtering but omits pagination, response size, rate limits, or permissions. Schema shows pagination parameters, but description does not address them.

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?

Single sentence is concise and front-loaded with main purpose. Could benefit from bullet points for clarity but is efficient.

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 7 parameters and no output schema, description lacks coverage. Only mentions three filter types, ignoring pagination, extractFields, and monitorTags. Incomplete for agent 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 each parameter is described. The description adds little beyond the schema, merely summarizing filters. Baseline 3 is appropriate.

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 'List Datadog monitors' with specific verb and resource, and mentions filtering options. This distinguishes it from sibling tools like get-monitor (single monitor) and mutation tools.

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?

No guidance on when to use this tool vs alternatives like get-monitor or create-monitor. Lacks 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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