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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_reboot_vm

Reboot virtual machines on Cloudeka's cloud platform using the cldkctl CLI through MCP-compatible clients.

Instructions

Call the cldkctl_reboot_vm endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vm_reboot_dataYesVM reboot data
Behavior1/5

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

With no annotations provided, the description carries full burden but offers zero behavioral disclosure. It doesn't indicate that this is a destructive operation (rebooting a VM causes downtime), mention required permissions, describe side effects, or specify response format. For a mutation tool with zero annotation coverage, this is critically inadequate.

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

Conciseness2/5

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

While concise, the single sentence 'Call the cldkctl_reboot_vm endpoint' is under-specified rather than efficiently informative. It wastes its limited space on redundant phrasing instead of delivering essential purpose or usage details. True conciseness balances brevity with clarity, which this lacks.

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

Completeness1/5

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

For a destructive VM management tool with no annotations, no output schema, and a nested object parameter, the description is completely inadequate. It doesn't explain the tool's impact, required inputs, expected outcomes, or error conditions. Given the complexity and lack of structured data, the description fails to provide necessary context for safe and correct usage.

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% with one parameter 'vm_reboot_data' described as 'VM reboot data', but this is vague. The description adds no additional parameter context beyond the schema. Since schema coverage is high, baseline is 3, but the description fails to clarify what 'vm_reboot_data' should contain (e.g., VM identifier, reboot type).

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

Purpose2/5

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

The description 'Call the cldkctl_reboot_vm endpoint' is a tautology that merely restates the tool name without specifying what the tool actually does. It lacks a clear verb+resource combination (e.g., 'reboot a virtual machine') and fails to distinguish it from sibling tools like 'cldkctl_vm_reboot' or 'cldkctl_turn_off_vm'. This provides minimal actionable information to an AI agent.

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

Usage Guidelines1/5

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), differentiate from similar tools like 'cldkctl_vm_reboot' or 'cldkctl_turn_off_vm', or specify appropriate contexts. This leaves the agent with no usage direction.

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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