Pause monitor
pause_monitorPause a monitor — no checks run and no alerts fire. Same as update_monitor with paused=true.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| uuid | Yes | UUID of the monitor to pause. |
pause_monitorPause a monitor — no checks run and no alerts fire. Same as update_monitor with paused=true.
| Name | Required | Description | Default |
|---|---|---|---|
| uuid | Yes | UUID of the monitor to pause. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses the key behavioral effect (no checks and no alerts) and equivalent behavior via update_monitor. However, it does not address reversibility, impact on existing alerts, or authorization requirements. The transparency is adequate but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with zero fluff. The core action and effect are front-loaded. Every word adds value. The alternative reference is succinctly placed. Highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with no output schema, the description covers the main effect and relationship to a sibling. It could mention that the pause is reversible (resume_monitor exists) but is otherwise complete. Given the low complexity, this is strong.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with one parameter (uuid) having a clear description. The tool description adds no additional parameter context beyond the schema. Baseline 3 is appropriate as the schema fully documents the parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb (Pause), the resource (monitor), and the effect (no checks run, no alerts fire). It explicitly distinguishes itself from the sibling tool update_monitor by noting equivalence when paused=true, which removes ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this tool is for simple pause operations, while update_monitor is for broader updates. However, it does not explicitly state when not to use this tool or provide exclusions. The mention of 'Same as update_monitor with paused=true' gives clear context but lacks explicit guidance on alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a specific resource or action (monitor, outage, escalation policy, etc.) with clear naming. No two tools could be easily confused; even similar ones like get_monitor_outages and get_monitor_anomalies serve distinct purposes.
All tools follow a consistent verb_noun pattern (create_, get_, list_, pause_, resume_, search_, update_) and use snake_case uniformly. This makes the tool set predictable and easy to navigate.
With 26 tools, the set is slightly above the typical well-scoped range of 3-15, but each tool serves a distinct monitoring function (monitors, outages, escalations, integrations, schedules, alerts, team members). The count is reasonable for the domain.
The tool surface is heavily read-oriented, lacking create/update/delete for most resource types (escalation policies, integrations, on-call schedules, outages). Even monitors lack a delete tool. This leaves significant gaps for administrative workflows.