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get_schedule

A read tool on the Vultr MCP server.

SERVERVultr MCP SOURCErsp2k/mcp-vultr
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/rsp2k-mcp-vultr/get-schedule.md

What get_schedule does on Vultr MCP

AI agents call get_schedule to retrieve information from Vultr MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_schedule is rated Low

This tool retrieves schedule information with no indicated side effects. The naming convention and position among sibling read-only accessor tools (get_*, list_*) strongly suggests it queries rather than modifies or executes. Confidence is moderate (0.75) because the description is empty; however, the server context and tool name provide sufficient evidence for Read classification.

From the tool's definition Tool name 'get_schedule' and sibling context (get_gym, get_coach, get_event, list_gyms, list_coaches, list_events) indicate data retrieval. No description provided, but pattern matches other getter/list tools on BJJ gym data server.

Questions about get_schedule

What does the get_schedule tool do? +

get_schedule is a read tool on the Vultr MCP server. It is categorised as a Read tool in the Vultr MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_schedule? +

Register the Vultr MCP server in PolicyLayer and add a rule for get_schedule: 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 Vultr MCP. Nothing to install.

What risk level is get_schedule? +

get_schedule is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_schedule? +

Yes. Add a rate_limit block to the get_schedule 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.

How do I block get_schedule completely? +

Set action: deny in the PolicyLayer policy for get_schedule. 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.

What MCP server provides get_schedule? +

get_schedule is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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