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get_device_facts_batch

Collect device facts (model, serial, EOS version, uptime) from multiple Arista devices in parallel.

Instructions

Return device facts (model, serial, EOS version, uptime) for multiple devices in parallel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
hostnamesNo
config_pathNo
max_workersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the parallel behavior and the specific facts returned, which implies a read-only operation. However, it does not mention error handling, limits on batch size, authentication requirements, or failures with invalid hostnames, so it is only partially transparent.

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 a single, focused sentence that is front-loaded with the core action and return value. It contains no filler or redundant details, hitting the ideal level of conciseness.

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 batch tool with four parameters, no annotations, and an output schema, the description is too sparse. It does not explain how to specify devices, the relationship between tags and hostnames, or the role of config_path and max_workers. The output schema covers return values, but the input semantics are left wholly unexplained, making the tool difficult to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema coverage is 0% and the description does not explain any of the four parameters. It only says 'multiple devices' without indicating how they are selected (tags vs hostnames), what config_path is for, or the meaning of max_workers. The description adds no semantic value over the bare schema names.

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 what it does: return device facts (model, serial, EOS version, uptime) for multiple devices in parallel. The verb 'Return' is specific, and the 'multiple devices in parallel' distinguishes it from the sibling get_device_facts, which presumably handles single devices.

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 implies when to use this tool: when you need facts for multiple devices, and the parallel execution suggests efficiency. It does not explicitly mention alternatives or exclusions, but the context is clear enough that an agent would not mistakenly use it for a single device. Lacking explicit 'when not to use' guidance prevents a 5.

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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