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monitor_create_alerts

Set up Prometheus Alertmanager alert rules for any service by selecting severity levels and notification channels, enabling reliable incident alerts to Slack, PagerDuty, or email.

Instructions

Create alerting rules for Prometheus Alertmanager (Pro)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
service_nameYesService to create alerts for
severity_levelsNoSeverity levels (e.g. critical, warning, info)
notification_channelNoNotification channel (slack, pagerduty, email)
Behavior2/5

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

No annotations are provided, so the description bears the full burden of disclosing behavioral traits. It only states that it creates rules, but does not mention whether it overwrites existing rules, requires particular permissions, has side effects on running Alertmanager, or what 'Pro' entails. For a mutating tool this is a significant transparency gap.

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 a single sentence with no fluff, and the core action is front-loaded. It is concise, though the brevity limits the amount of situational guidance it can carry.

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 mutation tool with no annotations and no output schema, the description is under-specified. It fails to explain prerequisites such as api_key, how severity_levels and notification_channel map to Alertmanager, whether existing rules are replaced, or what the 'Pro' designation changes. The presence of many sibling alert-related tools makes the sparse definition more costly.

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%, and each parameter has a meaningful description, so the baseline is 3. The tool description adds no extra context about parameters, but the schema already provides the necessary semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Create') and resource ('alerting rules for Prometheus Alertmanager (Pro)'), making the primary function identifiable. However, it does not explicitly contrast with closely related siblings like prom_add_rules or grafana_add_alerts, so an agent may need to inspect further to disambiguate.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus sibling tools such as prom_add_rules, alert_generate_prometheus, or grafana_add_alerts. The description contains no exclusions, prerequisites, or alternative routing, leaving the agent without context for selection.

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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