update_calendar

Update an existing calendar in GoHighLevel

Server GoHighLevel MCP Server thinkbedo/gohighlevel_mcp
Category Write
Risk class Medium
Parameters 00 required

What update_calendar does on GoHighLevel MCP Server

AI agents use update_calendar to create or update resources in GoHighLevel MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GoHighLevel MCP Server environment.

Why update_calendar needs a policy

This tool modifies existing calendar data reversibly. While the exact scope of what can be updated is not detailed, calendar updates are typical Write-category operations (create, modify, post, update). The severity is medium because calendar changes affect scheduling and coordination but typically lack the irreversibility of Destructive operations or the financial impact of Financial operations. The confidence is 0.

From the tool's definition Tool name 'update_calendar' and description 'Update an existing calendar in GoHighLevel' indicate modification of calendar data. The verb 'update' is explicitly a write operation that changes existing state.

Questions about update_calendar

What does the update_calendar tool do? +

Update an existing calendar in GoHighLevel. It is categorised as a Write tool in the GoHighLevel MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_calendar? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for update_calendar: 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 GoHighLevel MCP Server. Nothing to install.

What risk level is update_calendar? +

update_calendar is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_calendar? +

Yes. Add a rate_limit block to the update_calendar 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 update_calendar completely? +

Set action: deny in the PolicyLayer policy for update_calendar. 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 update_calendar? +

update_calendar is provided by the GoHighLevel MCP Server MCP server (thinkbedo/gohighlevel_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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