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washyu
by washyu

get_vm_logs

Retrieve log data from virtual machines or containers in a homelab environment to monitor system activity and troubleshoot issues.

Instructions

Get logs from a specific VM/container

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_idYesDatabase ID of the target device
platformYesVM platform
vm_nameYesName of the VM/container
linesNoNumber of log lines to retrieve
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers minimal information. It doesn't specify whether this is a read-only operation, what format/logs are returned, potential rate limits, authentication requirements, or error conditions. The description merely restates the tool's purpose without adding behavioral context.

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, clear sentence with zero wasted words. It's front-loaded with the core purpose and appropriately sized for a straightforward tool.

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 tool with no annotations and no output schema, the description is insufficient. It doesn't explain what logs are returned (format, content), whether there are size/time constraints, or how errors are handled. Given the operational context (VM/container management), more behavioral context is needed.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't clarify relationships between device_id, platform, and vm_name). Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the action ('Get logs') and target resource ('from a specific VM/container'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from potential sibling log-related tools (none are listed, but the agent might infer overlap with other monitoring tools like get_service_status).

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., VM must be running), exclusions, or how it relates to sibling tools like get_vm_status or get_service_status for monitoring purposes.

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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