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Pause a monitoring group

pause_monitor_group
Idempotent

Pause one monitoring group on a site for 1 hour, 24 hours or until resumed (maintenance, a redesign, a migration). The group's monitors that are on are switched off and remembered; when the time is up, or with resume_monitor_group, exactly those are switched back on, as far as the plan allows. Pausing a group that's already paused changes when it resumes. Pausing Security while the site is in quarantine stays in the dashboard. Tell the user which monitors stop watching and for how long, and get their go-ahead first. site_overview lists paused groups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupYesThe monitoring group: uptime = uptime, heartbeats and port monitors; flow = user flows; security; design; performance; seo; domain; compliance = legal compliance (accessibility)
siteIdYesThe site id
durationYesHow long: 1 hour, 24 hours, or until resumed

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / group / enum
      Previous value: -[
      -  "uptime",
      -  "flow",
      -  "security",
      -  "design",
      -  "performance",
      -  "seo",
      -  "domain",
      -  "compliance"
      -]New value: +[
      +  "flow",
      +  "security",
      +  "design",
      +  "performance",
      +  "seo",
      +  "domain",
      +  "compliance",
      +  "uptime"
      +]
  2. Changed2 schema fields changed
    • changedInput schema / properties / group / description
      Previous value: -"The monitoring group: uptime = uptime, heartbeats and port monitors; flow = user flows; security; design; performance; seo; domain"New value: +"The monitoring group: uptime = uptime, heartbeats and port monitors; flow = user flows; security; design; performance; seo; domain; compliance = legal compliance (accessibility)"
    • changedInput schema / properties / group / enum
      Previous value: -[
      -  "uptime",
      -  "flow",
      -  "security",
      -  "design",
      -  "performance",
      -  "seo",
      -  "domain"
      -]New value: +[
      +  "uptime",
      +  "flow",
      +  "security",
      +  "design",
      +  "performance",
      +  "seo",
      +  "domain",
      +  "compliance"
      +]
  3. Changed2 schema fields changed
    • changedInput schema / properties / group / description
      Previous value: -"The monitoring group: flow = user flows, security, design, performance, seo, domain, other"New value: +"The monitoring group: uptime = uptime, heartbeats and port monitors; flow = user flows; security; design; performance; seo; domain"
    • changedInput schema / properties / group / enum
      Previous value: -[
      -  "flow",
      -  "security",
      -  "design",
      -  "performance",
      -  "seo",
      -  "domain",
      -  "other"
      -]New value: +[
      +  "uptime",
      +  "flow",
      +  "security",
      +  "design",
      +  "performance",
      +  "seo",
      +  "domain"
      +]
  4. Added

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint=false, destructiveHint=false, idempotentHint=true), the description discloses what actually happens: only monitors that are 'on' are switched off and remembered, exactly those are restored on resume, and plan limits may cap restoration. It also covers the re-pause case, the Security/quarantine interaction, and an explicit user-consent requirement.

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?

Front-loaded with the action and the duration choices, and each following sentence carries real information (restoration semantics, re-pause behavior, quarantine edge case, consent instruction, discovery pointer). It is dense and slightly run-on, but nothing is filler.

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 three required params at full schema coverage and no output schema, the description covers everything an agent needs: effect on monitors, restoration path, edge cases, and the interaction requirement. No material gap remains.

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% with two well-documented enums, so the schema already carries both parameters. The description restates the durations and the site/group target, and adds the 'as far as the plan allows' constraint, but introduces no new per-parameter syntax or format detail. 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 states a specific verb and resource ('Pause one monitoring group on a site') and scopes it precisely to one group, with the three durations enumerated. It explicitly contrasts with resume_monitor_group, so an agent can distinguish it from siblings without opening a schema.

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

Usage Guidelines4/5

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

It gives clear scenarios for use (maintenance, redesign, migration) and names the counterpart tool resume_monitor_group and the discovery tool site_overview. It doesn't state an explicit 'do not use when' condition, but the context is strong.

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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