set_glp_virtual_machines_power_bulk
A execute tool on the API-Central MCP server.
This record as markdown: /tools/secure-ssid-centralmcp/set-glp-virtual-machines-power-bulk.md
What set_glp_virtual_machines_power_bulk does on API-Central
AI agents invoke set_glp_virtual_machines_power_bulk to trigger actions in API-Central. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why set_glp_virtual_machines_power_bulk is rated High
The tool name strongly suggests it controls power state for multiple VMs in bulk, which is an Execute-class action (triggering external operations). Bulk power operations can have significant blast radius — powering off or resetting many VMs simultaneously could disrupt services. However, the description is empty, lowering confidence. Severity is rated high due to the bulk nature and potential service disruption.
From the tool's definition Tool name: 'set_glp_virtual_machines_power_bulk' — implies setting power state (on/off/reset) for multiple virtual machines in bulk via GreenLake Platform
Attacks that exploit this kind of access
The rule that runs set_glp_virtual_machines_power_bulk safely
PolicyLayer is an MCP gateway: it sits between your AI agents and API-Central, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_glp_virtual_machines_power_bulk, this is the rule to start with:
set_glp_virtual_machines_power_bulk stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect API-Central, apply this rule, and every set_glp_virtual_machines_power_bulk call is checked against it from then on.
Questions about set_glp_virtual_machines_power_bulk
set_glp_virtual_machines_power_bulk is a execute tool on the API-Central MCP server. It is categorised as a Execute tool in the API-Central MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the API-Central MCP server in PolicyLayer and add a rule for set_glp_virtual_machines_power_bulk: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches API-Central. Nothing to install.
set_glp_virtual_machines_power_bulk is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the set_glp_virtual_machines_power_bulk rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for set_glp_virtual_machines_power_bulk. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
set_glp_virtual_machines_power_bulk is provided by the API-Central MCP server (secure-ssid/centralmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on API-Central, and thousands of servers like it.
Across the catalogue