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DevHelm MCP Server

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by devhelmhq

create_maintenance_window

Schedule a maintenance window to suppress alerts during planned deployments or maintenance. Prevents on-call paging for expected failures.

Instructions

Schedule a maintenance window to suppress alerts during planned work.

Call this BEFORE running an operation that may legitimately cause monitors to fail — a deploy, a database migration, a third-party service's announced downtime — so the on-call rotation isn't paged for known-expected failures. Always pair every successful create with a follow-up cancel_maintenance_window once the operation finishes; if the operation runs long, call update_maintenance_window to push the end time back rather than letting the window lapse early.

Time fields use ISO 8601 / RFC 3339 timestamps with explicit timezone — UTC strongly preferred. Example: "2026-05-15T14:00:00Z". Naive timestamps (no timezone) are rejected by the API.

Body fields:

  • startsAt (required): when the window opens.

  • endsAt (required): when the window closes; must be strictly after startsAt.

  • monitorId (optional): UUID of a single monitor to scope the window to. Omit (or set null) to make this an org-wide window that suppresses alerts on every monitor in the workspace — the right choice for a deploy or migration that touches the whole platform.

  • reason (optional): human-readable explanation ("v0.7.3 deploy", "Postgres major upgrade"). Surfaces in the dashboard and on-call channel; keep it specific.

  • repeatRule (optional): iCal RRULE string for recurring windows (max 100 chars), e.g. FREQ=WEEKLY;BYDAY=SU for weekly Sunday maintenance. Omit for one-time windows.

  • suppressAlerts (optional): whether the window actually silences alerts. Default true; set false to record a maintenance window for audit without changing alerting behavior.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Despite no annotations, the description discloses all relevant behavioral traits: it suppresses alerts (default true), reject naive timestamps, org-wide vs scoped, and repeatRule is stored but not yet honored.

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 well-structured with paragraphs and bullet points, but somewhat verbose. Every sentence adds value, though minor trimming could improve conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present (context says true), the description does not need to cover return values. It fully covers all other aspects: purpose, usage, parameters, and edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% per context, so the description fully compensates by explaining each parameter in detail with examples and constraints (e.g., 'endsAt must be strictly after startsAt', 'reason max 500 chars').

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 'Schedule a maintenance window to suppress alerts during planned work', using a specific verb and resource. It distinguishes from siblings like cancel_maintenance_window and update_maintenance_window.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to call ('BEFORE running an operation that may cause monitors to fail'), what to do after ('Always pair with cancel_maintenance_window'), and how to handle overruns (use update_maintenance_window to push end time).

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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