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caldera_list_agents

List all agents connected to Caldera. Filter by platform or only show recently active agents.

Instructions

List all agents connected to Caldera.

Args: platform: Optional platform filter — 'windows', 'linux', or 'darwin'. Leave empty to return all platforms. alive_only: If True, only return agents that have checked in recently (within 3x their sleep_max interval). Default False.

Returns: JSON string with a list of agents and their status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNo
alive_onlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description explains the alive_only parameter's condition (recent check-in within 3x sleep_max interval) and the return format. It does not mention side effects or permissions, but as a read operation, this is adequate.

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, front-loaded with the main purpose, and structured with clear Args and Returns sections. Every sentence adds value without unnecessary detail.

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

Completeness5/5

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

Given the presence of an output schema, the description adequately covers the return type ('JSON string with a list of agents and their status'). It provides sufficient context for the parameters and expected output, making it 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%, but the description adds full meaning for both parameters: platform filter options and alive_only with a specific condition. This compensates completely for the missing schema descriptions.

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 'List all agents connected to Caldera,' providing a specific verb and resource. It distinguishes itself from sibling tools like caldera_list_abilities and caldera_list_operations.

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 includes optional filters (platform and alive_only) with clear explanations, guiding when to use them. It lacks explicit exclusions or alternatives, but the context is sufficient for a list operation.

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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