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fabric-aiops

network_alerts

Retrieve network health alerts summarised by severity from Meraki networks. Identify critical issues quickly with actionable severity groupings.

Instructions

[READ] Current network health alerts, summarised by severity.

Args:
    network_id: Meraki network id (from network_list).
    limit: Max rows in the returned list (default 200). The result carries
        'returned'/'limit'/'truncated'; re-run with a higher limit when
        'truncated' is true rather than treating the list as complete.
    target: Target name from config; omit for the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
targetNo
network_idYes
Behavior4/5

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

With no annotations, the description must disclose behavior. It clearly labels the tool as read-only via '[READ]' and explains the truncation mechanism. Missing details on error handling or prerequisites, but sufficient for a read operation.

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 front-loaded with the purpose, then structured as args. Every sentence adds value without redundancy. Concise and well-organized.

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

Completeness3/5

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

No output schema is provided, so the description should detail the return format. It mentions 'summarised by severity' and the limit/truncated fields, but lacks specifics on the alert summary structure (e.g., fields, severity levels). Could be more complete.

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%, so the description must compensate. It fully explains all three parameters: network_id source, limit behavior with truncation, and target config reference, adding significant meaning beyond the schema.

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 starts with '[READ] Current network health alerts, summarised by severity.' This clearly states the action (read) and the resource (network health alerts), distinguishing it from sibling tools like network_health_score or device_status.

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?

The description provides detailed parameter guidance: network_id from network_list, limit truncation behavior, and target from config. However, it does not explicitly compare this tool to alternatives or specify when not to use it.

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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