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run_commands_batch

Run multiple enable-mode commands on multiple Arista EOS devices in parallel, targeting by hostname or tags. Get labelled outputs per device for efficient bulk troubleshooting.

Instructions

Run multiple enable-mode commands on multiple EOS devices in parallel.

Specify targets via 'hostnames', 'tags', or both. Each device's output is labelled by hostname and command.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
commandsYes
hostnamesNo
config_pathNo
max_workersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that execution is parallel and output is labelled by hostname and command, which is useful, but it does not disclose potential side effects or risks of running enable-mode commands, permissions needed, or failure handling semantics. Given that this tool can execute arbitrary commands on network devices, this omission is significant.

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 and well-structured. The first sentence states the core action and scope, the second explains targeting, and the third describes the output format. Each sentence adds value without redundancy, and the main purpose is front-loaded.

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?

Given the tool has 5 parameters and no annotations, the description covers core purpose and targeting but leaves gaps around config_path, max_workers, and failure/error behavior. The existence of an output schema reduces the need to describe return values, but the description is still not fully complete for a batch execution tool of this complexity.

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

Parameters2/5

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

The schema has 0% description coverage, so the description must compensate. It explains the purpose of commands, hostnames, and tags ('multiple enable-mode commands', 'targets via hostnames, tags, or both'), but it fails to explain config_path and max_workers. These parameters are not self-evident from their names alone, and the description leaves them undefined.

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 tool runs multiple enable-mode commands on multiple EOS devices in parallel, which is a specific verb+resource+scope. It also distinguishes itself from sibling tools like run_command or run_commands by emphasizing 'multiple devices' and 'parallel execution'. The targeting via hostnames/tags adds further clarity.

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 clear context by stating that the tool is for running multiple commands on multiple devices in parallel, and it gives specific targeting instructions ('via hostnames, tags, or both'). However, it does not explicitly mention when to use this tool versus alternatives (e.g., run_command_batch for single command on multiple devices) or when not to use it, so it lacks explicit exclusions.

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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