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fabric-aiops

claim_devices_into_network

Add devices to a Meraki network by specifying serial numbers. Preview changes with dry_run before claiming.

Instructions

[WRITE][risk=high] Claim devices into a network. Inverse: remove them.

Records the claimed serials so the harness can offer an undo (remove them).
Pass dry_run=True to preview.

Args:
    network_id: Meraki network id to claim into.
    serials: Device serials to claim.
    dry_run: If True, preview without claiming.
    target: Target name from config; omit for the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
dry_runNo
serialsYes
network_idYes
Behavior4/5

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

With no annotations provided, the description adds valuable behavioral context by flagging it as a high-risk write operation and explaining the undo recording. It could be improved by mentioning prerequisites or error states, but overall it provides essential transparency.

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 five logically organized sentences, no redundant information. The [WRITE][risk=high] tag and Args list efficiently pack essential details without fluff.

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

Completeness4/5

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

Given no output schema, the description could mention return values or error behavior. It covers the main workflow, risk, and undo mechanism, but lacks details on edge cases (e.g., duplicate serials). Still, it is largely complete for typical use.

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?

The schema has 0% description coverage, but the description's Args section thoroughly explains each parameter's purpose, including the default for 'target' and 'dry_run'. This adds significant meaning beyond the schema structure.

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 clearly states the verb 'Claim' and resource 'devices into a network', and distinguishes from sibling tools like 'remove_device_from_network' by noting it is the inverse operation. The purpose is unambiguous and specific.

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 advises using 'dry_run=True' for preview and mentions undo capability, guiding safe usage. However, it does not explicitly state when not to use this tool or compare with alternatives beyond the inverse note, leaving some room for ambiguity.

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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