vm_agentic_workflow

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

With no annotations provided, the description carries full burden. It discloses that actions use ctx.sample() with fallback, but does not mention potential destructive side effects, authorization needs, rate limits, or safety implications of the workflow actions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with bullet points for each action, making it easy to read. It is relatively concise but could be slightly more succinct without losing key details.

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

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

Given the tool's complexity (three actions, multiple parameters) and the existence of an output schema, the description provides a basic understanding but lacks details on behavioral outcomes, error handling, or prerequisites. It is adequate but not complete.

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

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

Schema description coverage is 0%. The description adds meaning for the 'goal' and 'use_case' parameters (e.g., 'what dangerous/experimental work to do' for sandbox_workflow). However, it completely omits the 'vm_name' parameter from the description, leaving its purpose unclear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool provides sampling-backed agentic operations for virtualization, listing three actions with brief explanations. It distinguishes from siblings like vm_management by focusing on workflow orchestration rather than direct VM management.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when agentic, sampling-based workflows are desired, but it does not explicitly state when to use this tool over siblings (e.g., vm_management for direct operations). It mentions fallback behavior but lacks explicit when-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.