Skip to main content
Glama
us-all

datadog-mcp-server

by us-all

create-slo-correction

Create time corrections to exclude maintenance or deployment periods from SLO calculations.

Instructions

Create an SLO correction to exclude a time period from SLO calculations (maintenance, deployments)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sloIdYesThe SLO ID to apply the correction to
categoryYesCategory of the correction
startYesISO 8601 start time of the correction period
endNoISO 8601 end time. Required if duration is not provided
durationNoDuration in seconds. Required if end is not provided
descriptionNoDescription of the correction
timezoneNoTimezone for display (defaults to UTC). Example: Asia/Seoul
rruleNoRecurrence rule (RFC 5545 RRULE). Example: FREQ=WEEKLY;INTERVAL=1;BYDAY=SA,SU
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the action but does not disclose behavioral traits such as whether the correction is idempotent, the impact on existing calculations, or any permission requirements. For a creation tool, more detail is needed.

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 sentence of 15 words, highly concise and front-loaded with the essential purpose. Every word earns its place with no wasted text.

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 8 parameters (3 required) and no output schema, the description is minimal. It does not explain the effect on SLO calculations, how overlapping corrections work, or the relationship between duration and end. Though the schema covers parameters, additional context about behavior would improve completeness for an agent.

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 schema already explains each parameter. The description adds marginal value by mentioning maintenance and deployments, which aligns with the category enum, but does not provide additional meaning beyond what is in the schema.

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 'create' and the resource 'SLO correction', and explains the purpose: to exclude a time period from SLO calculations. It provides examples like maintenance and deployments, distinguishing it from sibling tools like delete-slo-correction and update-slo-correction.

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 when needing to exclude a time period from SLO calculations, but does not explicitly state when to use this tool versus alternatives like create-slo or update-slo. No when-not-to-use or alternative guidance is provided.

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