update_schedule_preset

Rename a saved schedule, replace its scheduling_config, or make it the workspace default. At least one field beyond the id is required.

SERVERMax MCP Server SOURCEdigital-crew-technologies/max-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/digital-crew-technologies-max-mcp-server/update-schedule-preset.md

WHAT IT DOES

What update_schedule_preset does on Max MCP Server

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

RISK

Why update_schedule_preset is rated Medium

This tool modifies existing workspace profile settings (schedule presets) by renaming, updating configuration, or changing defaults. These are Write operations: they create or modify data reversibly without deleting or executing external code. The scope is limited to schedule preset management within a workspace, justifying medium severity rather than high.

From the tool's definition Tool description explicitly states 'Rename a saved schedule, replace its scheduling_config, or make it the workspace default' — these are reversible modifications to workspace configuration data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_schedule_preset safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Max MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_schedule_preset, this is the rule to start with:

update_schedule_preset Rate-limited

update_schedule_preset stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_schedule_preset": {
      "limits": [
        {
          "counter": "update_schedule_preset_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Max MCP Server, apply this rule, and every update_schedule_preset call is checked against it from then on.

FAQ

Questions about update_schedule_preset

What does the update_schedule_preset tool do? +

Rename a saved schedule, replace its scheduling_config, or make it the workspace default. At least one field beyond the id is required. It is categorised as a Write tool in the Max 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_schedule_preset? +

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

What risk level is update_schedule_preset? +

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

Can I rate-limit update_schedule_preset? +

Yes. Add a rate_limit block to the update_schedule_preset 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_schedule_preset completely? +

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

update_schedule_preset is provided by the Max MCP Server MCP server (digital-crew-technologies/max-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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