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AiAgentKarl

IoT Device Management MCP Server

get_alerts

Retrieve alerts and warnings for IoT devices with optional filters by device ID, severity, or resolution status. Get only open alerts by default, with configurable limits.

Instructions

Ruft Alerts und Warnungen fuer IoT-Geraete ab.

Args: device_id: Filtert Alerts fuer ein bestimmtes Geraet (optional) severity: Filtert nach Schwere (info, warning, error, critical) resolved: Wenn True, zeigt auch geloeste Alerts (Standard: False = nur offene) limit: Maximale Anzahl zurueckgegebener Alerts (Standard: 20)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_idNo
severityNo
resolvedNo
limitNo
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses filtering capabilities but does not explicitly state the tool is read-only or mention authentication, rate limits, or side effects. Adequate but not thorough.

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 concise with no fluff, using a short introductory sentence followed by clear bullet-like parameter explanations. Every sentence adds value.

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?

No output schema exists, yet the description fails to specify the return structure or type (e.g., a list of alert objects). This is a notable gap for an AI agent to understand the tool's output.

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?

With 0% schema description coverage, the description fully compensates by explaining each parameter's purpose and defaults (device_id, severity with examples, resolved behavior, limit). This adds significant value beyond the schema.

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 clearly states it retrieves alerts and warnings for IoT devices, specifying verb and resource. It does not explicitly differentiate from sibling tools like resolve_alert, but the purpose is unambiguous.

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 on when to use this tool versus alternatives (e.g., resolve_alert for resolving, get_device_status for device-specific status). The description only describes the tool itself without usage context.

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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