Skip to main content
Glama
us-all

datadog-mcp-server

validate-monitor

Validate a monitor definition by checking query syntax, thresholds, and options without creating it.

Instructions

Validate a monitor definition without creating it (check query syntax, thresholds, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesMonitor name to validate
typeYesMonitor type (e.g. metric alert, log alert, query alert)
queryYesMonitor query to validate
messageNoNotification message
tagsNoTags for the monitor
priorityNoPriority 1-5
optionsNoMonitor options (thresholds, etc.)
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses the key behavior: it validates without side effects (no creation). However, it does not mention rate limits, authentication needs, or error handling specifics. Still, it clearly communicates the non-destructive nature.

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?

Single sentence of 17 words, front-loaded with verb and resource. No unnecessary words; every part adds value. Highly 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?

For a validation tool, the description fails to mention what the output or return format is (e.g., success/error messages). It does not explain behavior on validation failure. This is a significant gap given there is no output schema to compensate.

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 parameters have descriptions. The tool description reinforces that validation checks query syntax and thresholds, which aligns with the parameter descriptions. However, it does not add new semantic information 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?

The description clearly states the verb 'validate' and the resource 'monitor definition', and explicitly distinguishes it from creation ('without creating it'). It also specifies what aspects are checked (query syntax, thresholds), making the purpose unambiguous.

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?

The description implies usage for testing/previewing before creation by saying 'without creating it', but it does not explicitly guide the agent on when to use this tool versus alternatives like create-monitor or get-monitors. No exclusions or alternative names are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/us-all/datadog-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server